{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Base DANSy Analysis\n",
    "\n",
    "Using the base version of DANSy to analyze proteins of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import dansy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First need to import a reference file that contains all the protein information. Here, we import a reference file for the entire proteome."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ref = dansy.import_proteome_files()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now building the DANSy object and showing the resulting network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting to fetch n-grams.\n",
      "Finished getting all n-grams\n",
      "Starting to generate adjacency\n",
      "Finished building adjacency.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_dansy = dansy.dansy(ref=ref)\n",
    "my_dansy.draw_network()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DANSy Analysis on a subset of proteins of interest\n",
    "\n",
    "If we want to focus on a small subset of proteins rather than the whole proteome, we can provide a list of UniProt IDs in addition to the reference file.\n",
    "\n",
    "For example, if we want to visualize the domain n-grams of the ERBB, FGFR, EPHA, and EPHB receptor tyrosine kinase families:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting to fetch n-grams.\n",
      "Finished getting all n-grams\n",
      "Starting to generate adjacency\n",
      "Finished building adjacency.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rtks = ['P00533','P04626','P21860','Q15303', # ERBB family\n",
    "        'P11362','P21802','P22607','P22455', # FGFR family\n",
    "        'P54764','P21709','P29317','P29322','P54756','Q15375','P29320','Q9UF33', # EPHA family\n",
    "        'P29323','P54760','P54762','P54753'] # EPHB family\n",
    "\n",
    "rtk_dansy = dansy.dansy(protsOI=rtks, ref=ref)\n",
    "\n",
    "# Now just adjusting some aesthetics for the network\n",
    "pos = nx.spring_layout(rtk_dansy.G, seed=123)\n",
    "network_params = {'node_size':50,\n",
    "                  'edgecolor':'k',\n",
    "                  'width':1,\n",
    "                  'linewdiths':0.25,\n",
    "                  'pos':pos}\n",
    "\n",
    "rtk_dansy.network_params = network_params\n",
    "\n",
    "rtk_dansy.draw_network()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then extract all the n-grams by calling the ngram attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['IPR000719',\n",
       " 'IPR001090',\n",
       " 'IPR003961|IPR027936|IPR000719|IPR001660',\n",
       " 'IPR003961|IPR003961|IPR027936|IPR000719|IPR001660',\n",
       " 'IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660',\n",
       " 'IPR001090|IPR003961',\n",
       " 'IPR000494|IPR006211|IPR000494|IPR032778',\n",
       " 'IPR003598|IPR003598|IPR003598|IPR000719',\n",
       " 'IPR000494|IPR006211|IPR000494|IPR032778|IPR049328|IPR000719',\n",
       " 'IPR001090|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660',\n",
       " 'IPR001090|IPR003961|IPR027936|IPR000719|IPR001660',\n",
       " 'IPR000494|IPR006211|IPR000494|IPR032778|IPR000719']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rtk_dansy.ngrams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, these can be a little difficult to parse since the default values returned use the InterPro IDs rather than a human legible form. To convert these to the domain names we can use the return_legible_ngram method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Prot_kinase_dom',\n",
       " 'Ephrin_rcpt_lig-bd_dom',\n",
       " 'FN3_dom|Eph_TM|Prot_kinase_dom|SAM',\n",
       " 'FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM',\n",
       " 'Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM',\n",
       " 'Ephrin_rcpt_lig-bd_dom|FN3_dom',\n",
       " 'Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|GF_recep_IV',\n",
       " 'Ig_sub2|Ig_sub2|Ig_sub2|Prot_kinase_dom',\n",
       " 'Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|GF_recep_IV|TM_ErbB1|Prot_kinase_dom',\n",
       " 'Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM',\n",
       " 'Ephrin_rcpt_lig-bd_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM',\n",
       " 'Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|GF_recep_IV|Prot_kinase_dom']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[rtk_dansy.return_legible_ngram(x) for x in rtk_dansy.ngrams]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Useful DANSy attributes and methods for additional analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The G attribute is a Graph object from the networkx package so any analysis that can be performed with the a networkx Graph can be used on the dansy.G\n",
    "\n",
    "# Centrality measurements:\n",
    "deg_cent = nx.degree_centrality(rtk_dansy.G)\n",
    "btwn_cent = nx.betweenness_centrality(rtk_dansy.G)\n",
    "\n",
    "# Connected components\n",
    "conn_c = nx.connected_components(rtk_dansy.G)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "ref": "0000ed24-cb4f-40f5-9bdc-3ace26d716bd",
       "rows": [
        [
         "name",
         "Domain n-gram Network"
        ],
        [
         "Proteins",
         "20"
        ],
        [
         "n-grams",
         "12"
        ],
        [
         "Network Isolates",
         "0"
        ],
        [
         "Network Connected Components",
         "1"
        ],
        [
         "Collapsed n-grams",
         "52"
        ],
        [
         "Network Edges",
         "22"
        ],
        [
         "Maximum Length of Protein Domain Architecture",
         "7"
        ]
       ],
       "shape": {
        "columns": 1,
        "rows": 8
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <td>Domain n-gram Network</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proteins</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n-grams</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Isolates</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Connected Components</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collapsed n-grams</th>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Edges</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maximum Length of Protein Domain Architecture</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    \n",
       "name                                           Domain n-gram Network\n",
       "Proteins                                                          20\n",
       "n-grams                                                           12\n",
       "Network Isolates                                                   0\n",
       "Network Connected Components                                       1\n",
       "Collapsed n-grams                                                 52\n",
       "Network Edges                                                     22\n",
       "Maximum Length of Protein Domain Architecture                      7"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To get a summary of all the DANSy analysis\n",
    "rtk_dansy.summary(detailed=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "UniProt ID",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Gene",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Species",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Uniprot Domains",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Ref Sequence",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "PDB IDs",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Uniprot Domain Architecture",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domains",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domain Architecture",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domain Architecture IDs",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "4c3940e4-9bc5-45c1-876e-7f2f97987762",
       "rows": [
        [
         "2839",
         "P00533",
         "EGFR",
         "Homo sapiens",
         "Protein kinase:712:979",
         "MRPSGTAGAALLALLAALCPASRALEEKKVCQGTSNKLTQLGTFEDHFLSLQRMFNNCEVVLGNLEITYVQRNYDLSFLKTIQEVAGYVLIALNTVERIPLENLQIIRGNMYYENSYALAVLSNYDANKTGLKELPMRNLQEILHGAVRFSNNPALCNVESIQWRDIVSSDFLSNMSMDFQNHLGSCQKCDPSCPNGSCWGAGEENCQKLTKIICAQQCSGRCRGKSPSDCCHNQCAAGCTGPRESDCLVCRKFRDEATCKDTCPPLMLYNPTTYQMDVNPEGKYSFGATCVKKCPRNYVVTDHGSCVRACGADSYEMEEDGVRKCKKCEGPCRKVCNGIGIGEFKDSLSINATNIKHFKNCTSISGDLHILPVAFRGDSFTHTPPLDPQELDILKTVKEITGFLLIQAWPENRTDLHAFENLEIIRGRTKQHGQFSLAVVSLNITSLGLRSLKEISDGDVIISGNKNLCYANTINWKKLFGTSGQKTKIISNRGENSCKATGQVCHALCSPEGCWGPEPRDCVSCRNVSRGRECVDKCNLLEGEPREFVENSECIQCHPECLPQAMNITCTGRGPDNCIQCAHYIDGPHCVKTCPAGVMGENNTLVWKYADAGHVCHLCHPNCTYGCTGPGLEGCPTNGPKIPSIATGMVGALLLLLVVALGIGLFMRRRHIVRKRTLRRLLQERELVEPLTPSGEAPNQALLRILKETEFKKIKVLGSGAFGTVYKGLWIPEGEKVKIPVAIKELREATSPKANKEILDEAYVMASVDNPHVCRLLGICLTSTVQLITQLMPFGCLLDYVREHKDNIGSQYLLNWCVQIAKGMNYLEDRRLVHRDLAARNVLVKTPQHVKITDFGLAKLLGAEEKEYHAEGGKVPIKWMALESILHRIYTHQSDVWSYGVTVWELMTFGSKPYDGIPASEISSILEKGERLPQPPICTIDVYMIMVKCWMIDADSRPKFRELIIEFSKMARDPQRYLVIQGDERMHLPSPTDSNFYRALMDEEDMDDVVDADEYLIPQQGFFSSPSTSRTPLLSSLSATSNNSTVACIDRNGLQSCPIKEDSFLQRYSSDPTGALTEDSIDDTFLPVPEYINQSVPKRPAGSVQNPVYHNQPLNPAPSRDPHYQDPHSTAVGNPEYLNTVQPTCVNSTFDSPAHWAQKGSHQISLDNPDYQQDFFPKEAKPNGIFKGSTAENAEYLRVAPQSSEFIGA",
         "1IVO;1M14;1M17;1MOX;1NQL;1XKK;1YY9;1Z9I;2EB2;2EB3;2GS2;2GS6;2GS7;2ITN;2ITO;2ITP;2ITQ;2ITT;2ITU;2ITV;2ITW;2ITX;2ITY;2ITZ;2J5E;2J5F;2J6M;2JIT;2JIU;2JIV;2KS1;2M0B;2M20;2N5S;2RF9;2RFD;2RFE;2RGP;3B2U;3B2V;3BEL;3BUO;3C09;3G5V;3G5Y;3GOP;3GT8;3IKA;3LZB;3NJP;3OB2;3OP0;3P0Y;3PFV;3POZ;3QWQ;3UG1;3UG2;3VJN;3VJO;3VRP;3VRR;3W2O;3W2P;3W2Q;3W2R;3W2S;3W32;3W33;4G5J;4G5P;4HJO;4I1Z;4I20;4I21;4I22;4I23;4I24;4JQ7;4JQ8;4JR3;4JRV;4KRL;4KRM;4KRO;4KRP;4LI5;4LL0;4LQM;4LRM;4R3P;4R3R;4R5S;4RIW;4RIX;4RIY;4RJ4;4RJ5;4RJ6;4RJ7;4RJ8;4TKS;4UIP;4UV7;4WD5;4WKQ;4WRG;4ZAU;4ZJV;4ZSE;5C8K;5C8M;5C8N;5CAL;5CAN;5CAO;5CAP;5CAQ;5CAS;5CAU;5CAV;5CNN;5CNO;5CZH;5CZI;5D41;5EDP;5EDQ;5EDR;5EM5;5EM6;5EM7;5EM8;5FED;5FEE;5FEQ;5GMP;5GNK;5GTY;5GTZ;5HCX;5HCY;5HCZ;5HG5;5HG7;5HG8;5HG9;5HIB;5HIC;5J9Y;5J9Z;5JEB;5LV6;5SX4;5SX5;5U8L;5UG8;5UG9;5UGA;5UGB;5UGC;5UWD;5WB7;5WB8;5X26;5X27;5X28;5X2A;5X2C;5X2F;5X2K;5XDK;5XDL;5XGM;5XGN;5XWD;5Y25;5Y9T;5YU9;5ZTO;5ZWJ;6ARU;6B3S;6D8E;6DUK;6JRJ;6JRK;6JRX;6JWL;6JX0;6JX4;6JXT;6JZ0;6LUB;6LUD;6P1D;6P1L;6P8Q;6S89;6S8A;6S9B;6S9C;6S9D;6TFU;6TFV;6TFW;6TFY;6TFZ;6TG0;6TG1;6V5N;6V5P;6V66;6V6K;6V6O;6VH4;6VHN;6VHP;6WA2;6WAK;6WXN;6XL4;6Z4B;6Z4D;7A2A;7A6I;7A6J;7A6K;7AEI;7AEM;7B85;7ER2;7JXI;7JXK;7JXL;7JXM;7JXP;7JXQ;7JXW;7K1H;7K1I;7KXZ;7KY0;7LEN;7LFR;7LFS;7LG8;7LGS;7LTX;7OM4;7OXB;7SI1;7SYD;7SYE;7SZ0;7SZ1;7SZ5;7SZ7;7T4I;7T4J;7TVD;7U98;7U99;7U9A;7UKV;7UKW;7VRA;7VRE;7ZYM;7ZYN;7ZYP;7ZYQ;8A27;8A2A;8A2B;8A2D;8D73;8D76;8DSW;8EME;8F1H;8F1W;8F1X;8F1Y;8F1Z;8FV3;8FV4;8G63;8GB4;8GK5;8H7X;8HGO;8HGP;8HGS;8HV1;8HV2;8HV3;8HV4;8HV5;8HV6;8HV7;8HV8;8HV9;8HVA;8HY7;8KFQ;8PNZ;8PO0;8PO1;8PO2;8PO3;8PO4;8S1M;8SC7;8TJL;8TO3;8TO4;8UKV;8UKW;8UKX;8WD4;9EWS;9EWT;9H46",
         "Protein kinase",
         "Rcpt_L-dom:IPR000494:57:167;Furin-like_Cys-rich_dom:IPR006211:185:338;Rcpt_L-dom:IPR000494:361:480;GF_recep_IV:IPR032778:505:637;TM_ErbB1:IPR049328:646:681;Prot_kinase_dom:IPR000719:712:979",
         "Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|GF_recep_IV|TM_ErbB1|Prot_kinase_dom",
         "IPR000494|IPR006211|IPR000494|IPR032778|IPR049328|IPR000719"
        ]
       ],
       "shape": {
        "columns": 10,
        "rows": 1
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UniProt ID</th>\n",
       "      <th>Gene</th>\n",
       "      <th>Species</th>\n",
       "      <th>Uniprot Domains</th>\n",
       "      <th>Ref Sequence</th>\n",
       "      <th>PDB IDs</th>\n",
       "      <th>Uniprot Domain Architecture</th>\n",
       "      <th>Interpro Domains</th>\n",
       "      <th>Interpro Domain Architecture</th>\n",
       "      <th>Interpro Domain Architecture IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2839</th>\n",
       "      <td>P00533</td>\n",
       "      <td>EGFR</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Protein kinase:712:979</td>\n",
       "      <td>MRPSGTAGAALLALLAALCPASRALEEKKVCQGTSNKLTQLGTFED...</td>\n",
       "      <td>1IVO;1M14;1M17;1MOX;1NQL;1XKK;1YY9;1Z9I;2EB2;2...</td>\n",
       "      <td>Protein kinase</td>\n",
       "      <td>Rcpt_L-dom:IPR000494:57:167;Furin-like_Cys-ric...</td>\n",
       "      <td>Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|...</td>\n",
       "      <td>IPR000494|IPR006211|IPR000494|IPR032778|IPR049...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     UniProt ID  Gene       Species         Uniprot Domains  \\\n",
       "2839     P00533  EGFR  Homo sapiens  Protein kinase:712:979   \n",
       "\n",
       "                                           Ref Sequence  \\\n",
       "2839  MRPSGTAGAALLALLAALCPASRALEEKKVCQGTSNKLTQLGTFED...   \n",
       "\n",
       "                                                PDB IDs  \\\n",
       "2839  1IVO;1M14;1M17;1MOX;1NQL;1XKK;1YY9;1Z9I;2EB2;2...   \n",
       "\n",
       "     Uniprot Domain Architecture  \\\n",
       "2839              Protein kinase   \n",
       "\n",
       "                                       Interpro Domains  \\\n",
       "2839  Rcpt_L-dom:IPR000494:57:167;Furin-like_Cys-ric...   \n",
       "\n",
       "                           Interpro Domain Architecture  \\\n",
       "2839  Rcpt_L-dom|Furin-like_Cys-rich_dom|Rcpt_L-dom|...   \n",
       "\n",
       "                       Interpro Domain Architecture IDs  \n",
       "2839  IPR000494|IPR006211|IPR000494|IPR032778|IPR049...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Getting protein information for a specific protein that was used for the analysis\n",
    "rtk_dansy.retrieve_protein_info(prot = 'P00533')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "UniProt ID",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Gene",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Species",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Uniprot Domains",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Ref Sequence",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "PDB IDs",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Uniprot Domain Architecture",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domains",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domain Architecture",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Interpro Domain Architecture IDs",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "1e2b4984-c326-47bf-bdab-f02a9ddd0128",
       "rows": [
        [
         "501",
         "P29323",
         "EPHB2",
         "Homo sapiens",
         "Eph LBD:20:202;Fibronectin type-III 1:324:434;Fibronectin type-III 2:435:530;Protein kinase:621:884;SAM:913:977",
         "MALRRLGAALLLLPLLAAVEETLMDSTTATAELGWMVHPPSGWEEVSGYDENMNTIRTYQVCNVFESSQNNWLRTKFIRRRGAHRIHVEMKFSVRDCSSIPSVPGSCKETFNLYYYEADFDSATKTFPNWMENPWVKVDTIAADESFSQVDLGGRVMKINTEVRSFGPVSRSGFYLAFQDYGGCMSLIAVRVFYRKCPRIIQNGAIFQETLSGAESTSLVAARGSCIANAEEVDVPIKLYCNGDGEWLVPIGRCMCKAGFEAVENGTVCRGCPSGTFKANQGDEACTHCPINSRTTSEGATNCVCRNGYYRADLDPLDMPCTTIPSAPQAVISSVNETSLMLEWTPPRDSGGREDLVYNIICKSCGSGRGACTRCGDNVQYAPRQLGLTEPRIYISDLLAHTQYTFEIQAVNGVTDQSPFSPQFASVNITTNQAAPSAVSIMHQVSRTVDSITLSWSQPDQPNGVILDYELQYYEKELSEYNATAIKSPTNTVTVQGLKAGAIYVFQVRARTVAGYGRYSGKMYFQTMTEAEYQTSIQEKLPLIIGSSAAGLVFLIAVVVIAIVCNRRGFERADSEYTDKLQHYTSGHMTPGMKIYIDPFTYEDPNEAVREFAKEIDISCVKIEQVIGAGEFGEVCSGHLKLPGKREIFVAIKTLKSGYTEKQRRDFLSEASIMGQFDHPNVIHLEGVVTKSTPVMIITEFMENGSLDSFLRQNDGQFTVIQLVGMLRGIAAGMKYLADMNYVHRDLAARNILVNSNLVCKVSDFGLSRFLEDDTSDPTYTSALGGKIPIRWTAPEAIQYRKFTSASDVWSYGIVMWEVMSYGERPYWDMTNQDVINAIEQDYRLPPPMDCPSALHQLMLDCWQKDRNHRPKFGQIVNTLDKMIRNPNSLKAMAPLSSGINLPLLDRTIPDYTSFNTVDEWLEAIKMGQYKESFANAGFTSFDVVSQMMMEDILRVGVTLAGHQKKILNSIQVMRAQMNQIQSVEGQPLARRPRATGRTKRCQPRDVTKKTCNSNDGKKKGMGKKKTDPGRGREIQGIFFKEDSHKESNDCSCGG",
         "1B4F;1F0M;2QBX;3ZFM;8EBL",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:20:202;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:268:302;FN3_dom:IPR003961:324:434;FN3_dom:IPR003961:435:530;Eph_TM:IPR027936:544:617;Prot_kinase_dom:IPR000719:621:884;SAM:IPR001660:910:977",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "834",
         "Q15375",
         "EPHA7",
         "Homo sapiens",
         "Eph LBD:32:210;Fibronectin type-III 1:331:441;Fibronectin type-III 2:442:537;Protein kinase:633:894;SAM:923:987",
         "MVFQTRYPSWIILCYIWLLRFAHTGEAQAAKEVLLLDSKAQQTELEWISSPPNGWEEISGLDENYTPIRTYQVCQVMEPNQNNWLRTNWISKGNAQRIFVELKFTLRDCNSLPGVLGTCKETFNLYYYETDYDTGRNIRENLYVKIDTIAADESFTQGDLGERKMKLNTEVREIGPLSKKGFYLAFQDVGACIALVSVKVYYKKCWSIIENLAIFPDTVTGSEFSSLVEVRGTCVSSAEEEAENAPRMHCSAEGEWLVPIGKCICKAGYQQKGDTCEPCGRGFYKSSSQDLQCSRCPTHSFSDKEGSSRCECEDGYYRAPSDPPYVACTRPPSAPQNLIFNINQTTVSLEWSPPADNGGRNDVTYRILCKRCSWEQGECVPCGSNIGYMPQQTGLEDNYVTVMDLLAHANYTFEVEAVNGVSDLSRSQRLFAAVSITTGQAAPSQVSGVMKERVLQRSVELSWQEPEHPNGVITEYEIKYYEKDQRERTYSTVKTKSTSASINNLKPGTVYVFQIRAFTAAGYGNYSPRLDVATLEEATGKMFEATAVSSEQNPVIIIAVVAVAGTIILVFMVFGFIIGRRHCGYSKADQEGDEELYFHFKFPGTKTYIDPETYEDPNRAVHQFAKELDASCIKIERVIGAGEFGEVCSGRLKLPGKRDVAVAIKTLKVGYTEKQRRDFLCEASIMGQFDHPNVVHLEGVVTRGKPVMIVIEFMENGALDAFLRKHDGQFTVIQLVGMLRGIAAGMRYLADMGYVHRDLAARNILVNSNLVCKVSDFGLSRVIEDDPEAVYTTTGGKIPVRWTAPEAIQYRKFTSASDVWSYGIVMWEVMSYGERPYWDMSNQDVIKAIEEGYRLPAPMDCPAGLHQLMLDCWQKERAERPKFEQIVGILDKMIRNPNSLKTPLGTCSRPISPLLDQNTPDFTTFCSVGEWLQAIKMERYKDNFTAAGYNSLESVARMTIEDVMSLGITLVGHQKKIMSSIQTMRAQMLHLHGTGIQV",
         "2REI;3DKO;3H8M;3NRU;7EEC;7EED;7EEF",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:32:210;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:271:308;FN3_dom:IPR003961:331:441;FN3_dom:IPR003961:442:537;Eph_TM:IPR027936:560:630;Prot_kinase_dom:IPR000719:633:894;SAM:IPR001660:920:987",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "2298",
         "P54762",
         "EPHB1",
         "Homo sapiens",
         "Eph LBD:19:201;Fibronectin type-III 1:322:432;Fibronectin type-III 2:433:528;Protein kinase:619:882;SAM:911:975",
         "MALDYLLLLLLASAVAAMEETLMDTRTATAELGWTANPASGWEEVSGYDENLNTIRTYQVCNVFEPNQNNWLLTTFINRRGAHRIYTEMRFTVRDCSSLPNVPGSCKETFNLYYYETDSVIATKKSAFWSEAPYLKVDTIAADESFSQVDFGGRLMKVNTEVRSFGPLTRNGFYLAFQDYGACMSLLSVRVFFKKCPSIVQNFAVFPETMTGAESTSLVIARGTCIPNAEEVDVPIKLYCNGDGEWMVPIGRCTCKPGYEPENSVACKACPAGTFKASQEAEGCSHCPSNSRSPAEASPICTCRTGYYRADFDPPEVACTSVPSGPRNVISIVNETSIILEWHPPRETGGRDDVTYNIICKKCRADRRSCSRCDDNVEFVPRQLGLTECRVSISSLWAHTPYTFDIQAINGVSSKSPFPPQHVSVNITTNQAAPSTVPIMHQVSATMRSITLSWPQPEQPNGIILDYEIRYYEKEHNEFNSSMARSQTNTARIDGLRPGMVYVVQVRARTVAGYGKFSGKMCFQTLTDDDYKSELREQLPLIAGSAAAGVVFVVSLVAISIVCSRKRAYSKEAVYSDKLQHYSTGRGSPGMKIYIDPFTYEDPNEAVREFAKEIDVSFVKIEEVIGAGEFGEVYKGRLKLPGKREIYVAIKTLKAGYSEKQRRDFLSEASIMGQFDHPNIIRLEGVVTKSRPVMIITEFMENGALDSFLRQNDGQFTVIQLVGMLRGIAAGMKYLAEMNYVHRDLAARNILVNSNLVCKVSDFGLSRYLQDDTSDPTYTSSLGGKIPVRWTAPEAIAYRKFTSASDVWSYGIVMWEVMSFGERPYWDMSNQDVINAIEQDYRLPPPMDCPAALHQLMLDCWQKDRNSRPRFAEIVNTLDKMIRNPASLKTVATITAVPSQPLLDRSIPDFTAFTTVDDWLSAIKMVQYRDSFLTAGFTSLQLVTQMTSEDLLRIGITLAGHQKKILNSIHSMRVQISQSPTAMA",
         "2DJS;2EAO;3ZFX;5MJA;5MJB;6UMW;7KPL;7KPM",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:19:201;FN3_dom:IPR003961:322:528;Eph_TM:IPR027936:542:616;Prot_kinase_dom:IPR000719:619:882;SAM:IPR001660:908:975",
         "Ephrin_rcpt_lig-bd_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "3227",
         "P54760",
         "EPHB4",
         "Homo sapiens",
         "Eph LBD:17:202;Fibronectin type-III 1:323:432;Fibronectin type-III 2:436:529;Protein kinase:615:899;SAM:907:971",
         "MELRVLLCWASLAAALEETLLNTKLETADLKWVTFPQVDGQWEELSGLDEEQHSVRTYEVCDVQRAPGQAHWLRTGWVPRRGAVHVYATLRFTMLECLSLPRAGRSCKETFTVFYYESDADTATALTPAWMENPYIKVDTVAAEHLTRKRPGAEATGKVNVKTLRLGPLSKAGFYLAFQDQGACMALLSLHLFYKKCAQLTVNLTRFPETVPRELVVPVAGSCVVDAVPAPGPSPSLYCREDGQWAEQPVTGCSCAPGFEAAEGNTKCRACAQGTFKPLSGEGSCQPCPANSHSNTIGSAVCQCRVGYFRARTDPRGAPCTTPPSAPRSVVSRLNGSSLHLEWSAPLESGGREDLTYALRCRECRPGGSCAPCGGDLTFDPGPRDLVEPWVVVRGLRPDFTYTFEVTALNGVSSLATGPVPFEPVNVTTDREVPPAVSDIRVTRSSPSSLSLAWAVPRAPSGAVLDYEVKYHEKGAEGPSSVRFLKTSENRAELRGLKRGASYLVQVRARSEAGYGPFGQEHHSQTQLDESEGWREQLALIAGTAVVGVVLVLVVIVVAVLCLRKQSNGREAEYSDKHGQYLIGHGTKVYIDPFTYEDPNEAVREFAKEIDVSYVKIEEVIGAGEFGEVCRGRLKAPGKKESCVAIKTLKGGYTERQRREFLSEASIMGQFEHPNIIRLEGVVTNSMPVMILTEFMENGALDSFLRLNDGQFTVIQLVGMLRGIASGMRYLAEMSYVHRDLAARNILVNSNLVCKVSDFGLSRFLEENSSDPTYTSSLGGKIPIRWTAPEAIAFRKFTSASDAWSYGIVMWEVMSFGERPYWDMSNQDVINAIEQDYRLPPPPDCPTSLHQLMLDCWQKDRNARPRFPQVVSALDKMIRNPASLKIVARENGGASHPLLDQRQPHYSAFGSVGEWLRAIKMGRYEESFAAAGFGSFELVSQISAEDLLRIGVTLAGHQKKILASVQHMKSQAKPGTPGGTGGPAPQY",
         "2BBA;2E7H;2HLE;2QKQ;2VWU;2VWV;2VWW;2VWX;2VWY;2VWZ;2VX0;2VX1;2X9F;2XVD;2YN8;3ZEW;4AW5;4BB4;6FNI;6FNJ;6FNK;6FNL;6FNM",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:17:202;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:261:299;FN3_dom:IPR003961:323:432;FN3_dom:IPR003961:434:529;Eph_TM:IPR027936:541:612;Prot_kinase_dom:IPR000719:615:899;SAM:IPR001660:904:971",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "3569",
         "P54756",
         "EPHA5",
         "Homo sapiens",
         "Eph LBD:60:238;Fibronectin type-III 1:357:467;Fibronectin type-III 2:468:562;Protein kinase:675:936;SAM:965:1029",
         "MRGSGPRGAGRRRPPSGGGDTPITPASLAGCYSAPRRAPLWTCLLLCAALRTLLASPSNEVNLLDSRTVMGDLGWIAFPKNGWEEIGEVDENYAPIHTYQVCKVMEQNQNNWLLTSWISNEGASRIFIELKFTLRDCNSLPGGLGTCKETFNMYYFESDDQNGRNIKENQYIKIDTIAADESFTELDLGDRVMKLNTEVRDVGPLSKKGFYLAFQDVGACIALVSVRVYYKKCPSVVRHLAVFPDTITGADSSQLLEVSGSCVNHSVTDEPPKMHCSAEGEWLVPIGKCMCKAGYEEKNGTCQVCRPGFFKASPHIQSCGKCPPHSYTHEEASTSCVCEKDYFRRESDPPTMACTRPPSAPRNAISNVNETSVFLEWIPPADTGGRKDVSYYIACKKCNSHAGVCEECGGHVRYLPRQSGLKNTSVMMVDLLAHTNYTFEIEAVNGVSDLSPGARQYVSVNVTTNQAAPSPVTNVKKGKIAKNSISLSWQEPDRPNGIILEYEIKYFEKDQETSYTIIKSKETTITAEGLKPASVYVFQIRARTAAGYGVFSRRFEFETTPVFAASSDQSQIPVIAVSVTVGVILLAVVIGVLLSGSCCECGCGRASSLCAVAHPSLIWRCGYSKAKQDPEEEKMHFHNGHIKLPGVRTYIDPHTYEDPNQAVHEFAKEIEASCITIERVIGAGEFGEVCSGRLKLPGKRELPVAIKTLKVGYTEKQRRDFLGEASIMGQFDHPNIIHLEGVVTKSKPVMIVTEYMENGSLDTFLKKNDGQFTVIQLVGMLRGISAGMKYLSDMGYVHRDLAARNILINSNLVCKVSDFGLSRVLEDDPEAAYTTRGGKIPIRWTAPEAIAFRKFTSASDVWSYGIVMWEVVSYGERPYWEMTNQDVIKAVEEGYRLPSPMDCPAALYQLMLDCWQKERNSRPKFDEIVNMLDKLIRNPSSLKTLVNASCRVSNLLAEHSPLGSGAYRSVGEWLEAIKMGRYTEIFMENGYSSMDAVAQVTLEDLRRLGVTLVGHQKKIMNSLQEMKVQLVNGMVPL",
         "2R2P;4ET7",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:60:238;FN3_dom:IPR003961:357:467;FN3_dom:IPR003961:468:562;Eph_TM:IPR027936:575:672;Prot_kinase_dom:IPR000719:675:936;SAM:IPR001660:962:1029",
         "Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "4409",
         "P54764",
         "EPHA4",
         "Homo sapiens",
         "Eph LBD:30:209;Fibronectin type-III 1:328:439;Fibronectin type-III 2:440:537;Protein kinase:621:882;SAM:911:975",
         "MAGIFYFALFSCLFGICDAVTGSRVYPANEVTLLDSRSVQGELGWIASPLEGGWEEVSIMDEKNTPIRTYQVCNVMEPSQNNWLRTDWITREGAQRVYIEIKFTLRDCNSLPGVMGTCKETFNLYYYESDNDKERFIRENQFVKIDTIAADESFTQVDIGDRIMKLNTEIRDVGPLSKKGFYLAFQDVGACIALVSVRVFYKKCPLTVRNLAQFPDTITGADTSSLVEVRGSCVNNSEEKDVPKMYCGADGEWLVPIGNCLCNAGHEERSGECQACKIGYYKALSTDATCAKCPPHSYSVWEGATSCTCDRGFFRADNDAASMPCTRPPSAPLNLISNVNETSVNLEWSSPQNTGGRQDISYNVVCKKCGAGDPSKCRPCGSGVHYTPQQNGLKTTKVSITDLLAHTNYTFEIWAVNGVSKYNPNPDQSVSVTVTTNQAAPSSIALVQAKEVTRYSVALAWLEPDRPNGVILEYEVKYYEKDQNERSYRIVRTAARNTDIKGLNPLTSYVFHVRARTAAGYGDFSEPLEVTTNTVPSRIIGDGANSTVLLVSVSGSVVLVVILIAAFVISRRRSKYSKAKQEADEEKHLNQGVRTYVDPFTYEDPNQAVREFAKEIDASCIKIEKVIGVGEFGEVCSGRLKVPGKREICVAIKTLKAGYTDKQRRDFLSEASIMGQFDHPNIIHLEGVVTKCKPVMIITEYMENGSLDAFLRKNDGRFTVIQLVGMLRGIGSGMKYLSDMSYVHRDLAARNILVNSNLVCKVSDFGMSRVLEDDPEAAYTTRGGKIPIRWTAPEAIAYRKFTSASDVWSYGIVMWEVMSYGERPYWDMSNQDVIKAIEEGYRLPPPMDCPIALHQLMLDCWQKERSDRPKFGQIVNMLDKLIRNPNSLKRTGTESSRPNTALLDPSSPEFSAVVSVGDWLQAIKMDRYKDNFTAAGYTTLEAVVHVNQEDLARIGITAITHQNKILSSVQAMRTQMQQMHGRMVPV",
         "2LW8;2WO1;2WO2;2WO3;3CKH;3GXU;4BK4;4BK5;4BKA;4BKF;4M4P;4M4R;4W4Z;4W50;5JR2;7OFV;9CY8",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:30:209;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:269:306;FN3_dom:IPR003961:328:439;FN3_dom:IPR003961:440:537;Eph_TM:IPR027936:550:618;Prot_kinase_dom:IPR000719:621:882;SAM:IPR001660:908:975",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "6629",
         "P29322",
         "EPHA8",
         "Homo sapiens",
         "Eph LBD:31:209;Fibronectin type-III 1:328:438;Fibronectin type-III 2:439:534;Protein kinase:635:896;SAM:930:994",
         "MAPARGRLPPALWVVTAAAAAATCVSAARGEVNLLDTSTIHGDWGWLTYPAHGWDSINEVDESFQPIHTYQVCNVMSPNQNNWLRTSWVPRDGARRVYAEIKFTLRDCNSMPGVLGTCKETFNLYYLESDRDLGASTQESQFLKIDTIAADESFTGADLGVRRLKLNTEVRSVGPLSKRGFYLAFQDIGACLAILSLRIYYKKCPAMVRNLAAFSEAVTGADSSSLVEVRGQCVRHSEERDTPKMYCSAEGEWLVPIGKCVCSAGYEERRDACVACELGFYKSAPGDQLCARCPPHSHSAAPAAQACHCDLSYYRAALDPPSSACTRPPSAPVNLISSVNGTSVTLEWAPPLDPGGRSDITYNAVCRRCPWALSRCEACGSGTRFVPQQTSLVQASLLVANLLAHMNYSFWIEAVNGVSDLSPEPRRAAVVNITTNQAAPSQVVVIRQERAGQTSVSLLWQEPEQPNGIILEYEIKYYEKDKEMQSYSTLKAVTTRATVSGLKPGTRYVFQVRARTSAGCGRFSQAMEVETGKPRPRYDTRTIVWICLTLITGLVVLLLLLICKKRHCGYSKAFQDSDEEKMHYQNGQAPPPVFLPLHHPPGKLPEPQFYAEPHTYEEPGRAGRSFTREIEASRIHIEKIIGSGDSGEVCYGRLRVPGQRDVPVAIKALKAGYTERQRRDFLSEASIMGQFDHPNIIRLEGVVTRGRLAMIVTEYMENGSLDTFLRTHDGQFTIMQLVGMLRGVGAGMRYLSDLGYVHRDLAARNVLVDSNLVCKVSDFGLSRVLEDDPDAAYTTTGGKIPIRWTAPEAIAFRTFSSASDVWSFGVVMWEVLAYGERPYWNMTNRDVISSVEEGYRLPAPMGCPHALHQLMLDCWHKDRAQRPRFSQIVSVLDALIRSPESLRATATVSRCPPPAFVRSCFDLRGGSGGGGGLTVGDWLDSIRMGRYRDHFAAGGYSSLGMVLRMNAQDVRALGITLMGHQKKILGSIQTMRAQLTSTQGPRRHL",
         "1UCV;1X5L;3KUL",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:31:209;FN3_dom:IPR003961:328:438;FN3_dom:IPR003961:439:534;Eph_TM:IPR027936:543:632;Prot_kinase_dom:IPR000719:635:896;SAM:IPR001660:927:994",
         "Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "7772",
         "P54753",
         "EPHB3",
         "Homo sapiens",
         "Eph LBD:39:217;Fibronectin type-III 1:339:451;Fibronectin type-III 2:452:545;Protein kinase:633:896;SAM:925:989",
         "MARARPPPPPSPPPGLLPLLPPLLLLPLLLLPAGCRALEETLMDTKWVTSELAWTSHPESGWEEVSGYDEAMNPIRTYQVCNVRESSQNNWLRTGFIWRRDVQRVYVELKFTVRDCNSIPNIPGSCKETFNLFYYEADSDVASASSPFWMENPYVKVDTIAPDESFSRLDAGRVNTKVRSFGPLSKAGFYLAFQDQGACMSLISVRAFYKKCASTTAGFALFPETLTGAEPTSLVIAPGTCIPNAVEVSVPLKLYCNGDGEWMVPVGACTCATGHEPAAKESQCRPCPPGSYKAKQGEGPCLPCPPNSRTTSPAASICTCHNNFYRADSDSADSACTTVPSPPRGVISNVNETSLILEWSEPRDLGGRDDLLYNVICKKCHGAGGASACSRCDDNVEFVPRQLGLTERRVHISHLLAHTRYTFEVQAVNGVSGKSPLPPRYAAVNITTNQAAPSEVPTLRLHSSSGSSLTLSWAPPERPNGVILDYEMKYFEKSEGIASTVTSQMNSVQLDGLRPDARYVVQVRARTVAGYGQYSRPAEFETTSERGSGAQQLQEQLPLIVGSATAGLVFVVAVVVIAIVCLRKQRHGSDSEYTEKLQQYIAPGMKVYIDPFTYEDPNEAVREFAKEIDVSCVKIEEVIGAGEFGEVCRGRLKQPGRREVFVAIKTLKVGYTERQRRDFLSEASIMGQFDHPNIIRLEGVVTKSRPVMILTEFMENCALDSFLRLNDGQFTVIQLVGMLRGIAAGMKYLSEMNYVHRDLAARNILVNSNLVCKVSDFGLSRFLEDDPSDPTYTSSLGGKIPIRWTAPEAIAYRKFTSASDVWSYGIVMWEVMSYGERPYWDMSNQDVINAVEQDYRLPPPMDCPTALHQLMLDCWVRDRNLRPKFSQIVNTLDKLIRNAASLKVIASAQSGMSQPLLDRTVPDYTTFTTVGDWLDAIKMGRYKESFVSAGFASFDLVAQMTAEDLLRIGVTLAGHQKKILSSIQDMRLQMNQTLPVQV",
         "3P1I;3ZFY;5L6O;5L6P",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:39:217;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:281:316;FN3_dom:IPR003961:339:451;FN3_dom:IPR003961:452:545;Eph_TM:IPR027936:560:630;Prot_kinase_dom:IPR000719:633:896;SAM:IPR001660:922:989",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "12235",
         "P29320",
         "EPHA3",
         "Homo sapiens",
         "Eph LBD:29:207;Fibronectin type-III 1:325:435;Fibronectin type-III 2:436:531;Protein kinase:621:882;SAM:911:975",
         "MDCQLSILLLLSCSVLDSFGELIPQPSNEVNLLDSKTIQGELGWISYPSHGWEEISGVDEHYTPIRTYQVCNVMDHSQNNWLRTNWVPRNSAQKIYVELKFTLRDCNSIPLVLGTCKETFNLYYMESDDDHGVKFREHQFTKIDTIAADESFTQMDLGDRILKLNTEIREVGPVNKKGFYLAFQDVGACVALVSVRVYFKKCPFTVKNLAMFPDTVPMDSQSLVEVRGSCVNNSKEEDPPRMYCSTEGEWLVPIGKCSCNAGYEERGFMCQACRPGFYKALDGNMKCAKCPPHSSTQEDGSMNCRCENNYFRADKDPPSMACTRPPSSPRNVISNINETSVILDWSWPLDTGGRKDVTFNIICKKCGWNIKQCEPCSPNVRFLPRQFGLTNTTVTVTDLLAHTNYTFEIDAVNGVSELSSPPRQFAAVSITTNQAAPSPVLTIKKDRTSRNSISLSWQEPEHPNGIILDYEVKYYEKQEQETSYTILRARGTNVTISSLKPDTIYVFQIRARTAAGYGTNSRKFEFETSPDSFSISGESSQVVMIAISAAVAIILLTVVIYVLIGRFCGYKSKHGADEKRLHFGNGHLKLPGLRTYVDPHTYEDPTQAVHEFAKELDATNISIDKVVGAGEFGEVCSGRLKLPSKKEISVAIKTLKVGYTEKQRRDFLGEASIMGQFDHPNIIRLEGVVTKSKPVMIVTEYMENGSLDSFLRKHDAQFTVIQLVGMLRGIASGMKYLSDMGYVHRDLAARNILINSNLVCKVSDFGLSRVLEDDPEAAYTTRGGKIPIRWTSPEAIAYRKFTSASDVWSYGIVLWEVMSYGERPYWEMSNQDVIKAVDEGYRLPPPMDCPAALYQLMLDCWQKDRNNRPKFEQIVSILDKLIRNPGSLKIITSAAARPSNLLLDQSNVDITTFRTTGDWLNGVWTAHCKEIFTGVEYSSCDTIAKISTDDMKKVGVTVVGPQKKIISSIKALETQSKNGPVPV",
         "2GSF;2QO2;2QO7;2QO9;2QOB;2QOC;2QOD;2QOF;2QOI;2QOK;2QOL;2QON;2QOO;2QOQ;3DZQ;3FXX;3FY2;4G2F;4GK2;4GK3;4GK4;4L0P;4P4C;4P5Q;4P5Z;4TWN;4TWO;6IN0",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:29:207;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:269:303;FN3_dom:IPR003961:325:435;FN3_dom:IPR003961:436:531;Eph_TM:IPR027936:545:618;Prot_kinase_dom:IPR000719:621:882;SAM:IPR001660:908:975",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "13622",
         "P29317",
         "EPHA2",
         "Homo sapiens",
         "Eph LBD:28:206;Fibronectin type-III 1:328:432;Fibronectin type-III 2:438:529;Protein kinase:613:875;SAM:904:968",
         "MELQAARACFALLWGCALAAAAAAQGKEVVLLDFAAAGGELGWLTHPYGKGWDLMQNIMNDMPIYMYSVCNVMSGDQDNWLRTNWVYRGEAERIFIELKFTVRDCNSFPGGASSCKETFNLYYAESDLDYGTNFQKRLFTKIDTIAPDEITVSSDFEARHVKLNVEERSVGPLTRKGFYLAFQDIGACVALLSVRVYYKKCPELLQGLAHFPETIAGSDAPSLATVAGTCVDHAVVPPGGEEPRMHCAVDGEWLVPIGQCLCQAGYEKVEDACQACSPGFFKFEASESPCLECPEHTLPSPEGATSCECEEGFFRAPQDPASMPCTRPPSAPHYLTAVGMGAKVELRWTPPQDSGGREDIVYSVTCEQCWPESGECGPCEASVRYSEPPHGLTRTSVTVSDLEPHMNYTFTVEARNGVSGLVTSRSFRTASVSINQTEPPKVRLEGRSTTSLSVSWSIPPPQQSRVWKYEVTYRKKGDSNSYNVRRTEGFSVTLDDLAPDTTYLVQVQALTQEGQGAGSKVHEFQTLSPEGSGNLAVIGGVAVGVVLLLVLAGVGFFIHRRRKNQRARQSPEDVYFSKSEQLKPLKTYVDPHTYEDPNQAVLKFTTEIHPSCVTRQKVIGAGEFGEVYKGMLKTSSGKKEVPVAIKTLKAGYTEKQRVDFLGEAGIMGQFSHHNIIRLEGVISKYKPMMIITEYMENGALDKFLREKDGEFSVLQLVGMLRGIAAGMKYLANMNYVHRDLAARNILVNSNLVCKVSDFGLSRVLEDDPEATYTTSGGKIPIRWTAPEAISYRKFTSASDVWSFGIVMWEVMTYGERPYWELSNHEVMKAINDGFRLPTPMDCPSAIYQLMMQCWQQERARRPKFADIVSILDKLIRAPDSLKTLADFDPRVSIRLPSTSGSEGVPFRTVSEWLESIKMQQYTEHFMAAGYTAIEKVVQMTNDDIKRIGVRLPGHQKRIAYSLLGLKDQVNTVGIPI",
         "1MQB;2E8N;2K9Y;2KSO;2X10;2X11;3C8X;3CZU;3FL7;3HEI;3HPN;3KKA;3MBW;3MX0;3SKJ;4P2K;4PDO;4TRL;5EK7;5I9U;5I9V;5I9W;5I9X;5I9Y;5I9Z;5IA0;5IA1;5IA2;5IA3;5IA4;5IA5;5NJZ;5NK0;5NK1;5NK2;5NK3;5NK4;5NK5;5NK6;5NK7;5NK8;5NK9;5NKA;5NKB;5NKC;5NKD;5NKE;5NKF;5NKG;5NKH;5NKI;5NZ9;6B9L;6F7M;6F7N;6FNF;6FNG;6FNH;6HES;6HET;6HEU;6HEV;6HEW;6HEX;6HEY;6NJZ;6NK0;6NK1;6NK2;6NKP;6Q7B;6Q7C;6Q7D;6Q7E;6Q7F;6Q7G;6RW2;7B7N;7CZE;7CZF;7KJA;7KJB;7KJC;8BIN;8BIO;8BK0;8BM8;8BOC;8BOD;8BOF;8BOG;8BOH;8BOI;8BOK;8BOM;8QQY;8T9B;8TRS;8TRT;8TRV;8TV1;8TV5;8XPV",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:28:206;FN3_dom:IPR003961:328:432;FN3_dom:IPR003961:436:529;Eph_TM:IPR027936:538:610;Prot_kinase_dom:IPR000719:613:875;SAM:IPR001660:901:968",
         "Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "17323",
         "Q9UF33",
         "EPHA6",
         "Homo sapiens",
         "Eph LBD:34:212;Fibronectin type-III 1:331:441;Fibronectin type-III 2:442:537;Protein kinase:631:944;SAM:961:1025",
         "MGGCEVREFLLQFGFFLPLLTAWPGDCSHVSNNQVVLLDTTTVLGELGWKTYPLNGWDAITEMDEHNRPIHTYQVCNVMEPNQNNWLRTNWISRDAAQKIYVEMKFTLRDCNSIPWVLGTCKETFNLFYMESDESHGIKFKPNQYTKIDTIAADESFTQMDLGDRILKLNTEIREVGPIERKGFYLAFQDIGACIALVSVRVFYKKCPFTVRNLAMFPDTIPRVDSSSLVEVRGSCVKSAEERDTPKLYCGADGDWLVPLGRCICSTGYEEIEGSCHACRPGFYKAFAGNTKCSKCPPHSLTYMEATSVCQCEKGYFRAEKDPPSMACTRPPSAPRNVVFNINETALILEWSPPSDTGGRKDLTYSVICKKCGLDTSQCEDCGGGLRFIPRHTGLINNSVIVLDFVSHVNYTFEIEAMNGVSELSFSPKPFTAITVTTDQDAPSLIGVVRKDWASQNSIALSWQAPAFSNGAILDYEIKYYEKEHEQLTYSSTRSKAPSVIITGLKPATKYVFHIRVRTATGYSGYSQKFEFETGDETSDMAAEQGQILVIATAAVGGFTLLVILTLFFLITGRCQWYIKAKMKSEEKRRNHLQNGHLRFPGIKTYIDPDTYEDPSLAVHEFAKEIDPSRIRIERVIGAGEFGEVCSGRLKTPGKREIPVAIKTLKGGHMDRQRRDFLREASIMGQFDHPNIIRLEGVVTKRSFPAIGVEAFCPSFLRAGFLNSIQAPHPVPGGGSLPPRIPAGRPVMIVVEYMENGSLDSFLRKHDGHFTVIQLVGMLRGIASGMKYLSDMGYVHRDLAARNILVNSNLVCKVSDFGLSRVLEDDPEAAYTTTGGKIPIRWTAPEAIAYRKFSSASDAWSYGIVMWEVMSYGERPYWEMSNQDVILSIEEGYRLPAPMGCPASLHQLMLHCWQKERNHRPKFTDIVSFLDKLIRNPSALHTLVEDILVMPESPGEVPEYPLFVTVGDWLDSIKMGQYKNNFVAAGFTTFDLISRMSIDDIRRIGVILIGHQRRIVSSIQTLRLHMMHIQEKGFHV",
         "",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:34:212;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:272:312;FN3_dom:IPR003961:331:441;FN3_dom:IPR003961:442:537;Eph_TM:IPR027936:551:628;Prot_kinase_dom:IPR000719:631:944;SAM:IPR001660:958:1025",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ],
        [
         "17777",
         "P21709",
         "EPHA1",
         "Homo sapiens",
         "Eph LBD:27:209;Fibronectin type-III 1:332:445;Fibronectin type-III 2:447:538;Protein kinase:624:884;SAM:913:976",
         "MERRWPLGLGLVLLLCAPLPPGARAKEVTLMDTSKAQGELGWLLDPPKDGWSEQQQILNGTPLYMYQDCPMQGRRDTDHWLRSNWIYRGEEASRVHVELQFTVRDCKSFPGGAGPLGCKETFNLLYMESDQDVGIQLRRPLFQKVTTVAADQSFTIRDLVSGSVKLNVERCSLGRLTRRGLYLAFHNPGACVALVSVRVFYQRCPETLNGLAQFPDTLPGPAGLVEVAGTCLPHARASPRPSGAPRMHCSPDGEWLVPVGRCHCEPGYEEGGSGEACVACPSGSYRMDMDTPHCLTCPQQSTAESEGATICTCESGHYRAPGEGPQVACTGPPSAPRNLSFSASGTQLSLRWEPPADTGGRQDVRYSVRCSQCQGTAQDGGPCQPCGVGVHFSPGARGLTTPAVHVNGLEPYANYTFNVEAQNGVSGLGSSGHASTSVSISMGHAESLSGLSLRLVKKEPRQLELTWAGSRPRSPGANLTYELHVLNQDEERYQMVLEPRVLLTELQPDTTYIVRVRMLTPLGPGPFSPDHEFRTSPPVSRGLTGGEIVAVIFGLLLGAALLLGILVFRSRRAQRQRQQRQRDRATDVDREDKLWLKPYVDLQAYEDPAQGALDFTRELDPAWLMVDTVIGEGEFGEVYRGTLRLPSQDCKTVAIKTLKDTSPGGQWWNFLREATIMGQFSHPHILHLEGVVTKRKPIMIITEFMENGALDAFLREREDQLVPGQLVAMLQGIASGMNYLSNHNYVHRDLAARNILVNQNLCCKVSDFGLTRLLDDFDGTYETQGGKIPIRWTAPEAIAHRIFTTASDVWSFGIVMWEVLSFGDKPYGEMSNQEVMKSIEDGYRLPPPVDCPAPLYELMKNCWAYDRARRPHFQKLQAHLEQLLANPHSLRTIANFDPRMTLRLPSLSGSDGIPYRTVSEWLESIRMKRYILHFHSAGLDTMECVLELTAEDLTQMGITLPGHQKRILCSIQGFKD",
         "2K1K;2K1L;3HIL;3KKA",
         "Eph LBD|Fibronectin type-III 1|Fibronectin type-III 2|Protein kinase|SAM",
         "Ephrin_rcpt_lig-bd_dom:IPR001090:27:209;Tyr-kin_ephrin_A/B_rcpt-like:IPR011641:275:309;FN3_dom:IPR003961:332:445;FN3_dom:IPR003961:447:538;Eph_TM:IPR027936:548:621;Prot_kinase_dom:IPR000719:624:884;SAM:IPR001660:910:976",
         "Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt-like|FN3_dom|FN3_dom|Eph_TM|Prot_kinase_dom|SAM",
         "IPR001090|IPR011641|IPR003961|IPR003961|IPR027936|IPR000719|IPR001660"
        ]
       ],
       "shape": {
        "columns": 10,
        "rows": 12
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UniProt ID</th>\n",
       "      <th>Gene</th>\n",
       "      <th>Species</th>\n",
       "      <th>Uniprot Domains</th>\n",
       "      <th>Ref Sequence</th>\n",
       "      <th>PDB IDs</th>\n",
       "      <th>Uniprot Domain Architecture</th>\n",
       "      <th>Interpro Domains</th>\n",
       "      <th>Interpro Domain Architecture</th>\n",
       "      <th>Interpro Domain Architecture IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>P29323</td>\n",
       "      <td>EPHB2</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:20:202;Fibronectin type-III 1:324:434;...</td>\n",
       "      <td>MALRRLGAALLLLPLLAAVEETLMDSTTATAELGWMVHPPSGWEEV...</td>\n",
       "      <td>1B4F;1F0M;2QBX;3ZFM;8EBL</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:20:202;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>834</th>\n",
       "      <td>Q15375</td>\n",
       "      <td>EPHA7</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:32:210;Fibronectin type-III 1:331:441;...</td>\n",
       "      <td>MVFQTRYPSWIILCYIWLLRFAHTGEAQAAKEVLLLDSKAQQTELE...</td>\n",
       "      <td>2REI;3DKO;3H8M;3NRU;7EEC;7EED;7EEF</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:32:210;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2298</th>\n",
       "      <td>P54762</td>\n",
       "      <td>EPHB1</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:19:201;Fibronectin type-III 1:322:432;...</td>\n",
       "      <td>MALDYLLLLLLASAVAAMEETLMDTRTATAELGWTANPASGWEEVS...</td>\n",
       "      <td>2DJS;2EAO;3ZFX;5MJA;5MJB;6UMW;7KPL;7KPM</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:19:201;FN3_do...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|FN3_dom|Eph_TM|Prot_kin...</td>\n",
       "      <td>IPR001090|IPR003961|IPR027936|IPR000719|IPR001660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3227</th>\n",
       "      <td>P54760</td>\n",
       "      <td>EPHB4</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:17:202;Fibronectin type-III 1:323:432;...</td>\n",
       "      <td>MELRVLLCWASLAAALEETLLNTKLETADLKWVTFPQVDGQWEELS...</td>\n",
       "      <td>2BBA;2E7H;2HLE;2QKQ;2VWU;2VWV;2VWW;2VWX;2VWY;2...</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:17:202;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3569</th>\n",
       "      <td>P54756</td>\n",
       "      <td>EPHA5</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:60:238;Fibronectin type-III 1:357:467;...</td>\n",
       "      <td>MRGSGPRGAGRRRPPSGGGDTPITPASLAGCYSAPRRAPLWTCLLL...</td>\n",
       "      <td>2R2P;4ET7</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:60:238;FN3_do...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...</td>\n",
       "      <td>IPR001090|IPR003961|IPR003961|IPR027936|IPR000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4409</th>\n",
       "      <td>P54764</td>\n",
       "      <td>EPHA4</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:30:209;Fibronectin type-III 1:328:439;...</td>\n",
       "      <td>MAGIFYFALFSCLFGICDAVTGSRVYPANEVTLLDSRSVQGELGWI...</td>\n",
       "      <td>2LW8;2WO1;2WO2;2WO3;3CKH;3GXU;4BK4;4BK5;4BKA;4...</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:30:209;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6629</th>\n",
       "      <td>P29322</td>\n",
       "      <td>EPHA8</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:31:209;Fibronectin type-III 1:328:438;...</td>\n",
       "      <td>MAPARGRLPPALWVVTAAAAAATCVSAARGEVNLLDTSTIHGDWGW...</td>\n",
       "      <td>1UCV;1X5L;3KUL</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:31:209;FN3_do...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...</td>\n",
       "      <td>IPR001090|IPR003961|IPR003961|IPR027936|IPR000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7772</th>\n",
       "      <td>P54753</td>\n",
       "      <td>EPHB3</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:39:217;Fibronectin type-III 1:339:451;...</td>\n",
       "      <td>MARARPPPPPSPPPGLLPLLPPLLLLPLLLLPAGCRALEETLMDTK...</td>\n",
       "      <td>3P1I;3ZFY;5L6O;5L6P</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:39:217;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12235</th>\n",
       "      <td>P29320</td>\n",
       "      <td>EPHA3</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:29:207;Fibronectin type-III 1:325:435;...</td>\n",
       "      <td>MDCQLSILLLLSCSVLDSFGELIPQPSNEVNLLDSKTIQGELGWIS...</td>\n",
       "      <td>2GSF;2QO2;2QO7;2QO9;2QOB;2QOC;2QOD;2QOF;2QOI;2...</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:29:207;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13622</th>\n",
       "      <td>P29317</td>\n",
       "      <td>EPHA2</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:28:206;Fibronectin type-III 1:328:432;...</td>\n",
       "      <td>MELQAARACFALLWGCALAAAAAAQGKEVVLLDFAAAGGELGWLTH...</td>\n",
       "      <td>1MQB;2E8N;2K9Y;2KSO;2X10;2X11;3C8X;3CZU;3FL7;3...</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:28:206;FN3_do...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...</td>\n",
       "      <td>IPR001090|IPR003961|IPR003961|IPR027936|IPR000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17323</th>\n",
       "      <td>Q9UF33</td>\n",
       "      <td>EPHA6</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:34:212;Fibronectin type-III 1:331:441;...</td>\n",
       "      <td>MGGCEVREFLLQFGFFLPLLTAWPGDCSHVSNNQVVLLDTTTVLGE...</td>\n",
       "      <td></td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:34:212;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17777</th>\n",
       "      <td>P21709</td>\n",
       "      <td>EPHA1</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>Eph LBD:27:209;Fibronectin type-III 1:332:445;...</td>\n",
       "      <td>MERRWPLGLGLVLLLCAPLPPGARAKEVTLMDTSKAQGELGWLLDP...</td>\n",
       "      <td>2K1K;2K1L;3HIL;3KKA</td>\n",
       "      <td>Eph LBD|Fibronectin type-III 1|Fibronectin typ...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom:IPR001090:27:209;Tyr-ki...</td>\n",
       "      <td>Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...</td>\n",
       "      <td>IPR001090|IPR011641|IPR003961|IPR003961|IPR027...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      UniProt ID   Gene       Species  \\\n",
       "501       P29323  EPHB2  Homo sapiens   \n",
       "834       Q15375  EPHA7  Homo sapiens   \n",
       "2298      P54762  EPHB1  Homo sapiens   \n",
       "3227      P54760  EPHB4  Homo sapiens   \n",
       "3569      P54756  EPHA5  Homo sapiens   \n",
       "4409      P54764  EPHA4  Homo sapiens   \n",
       "6629      P29322  EPHA8  Homo sapiens   \n",
       "7772      P54753  EPHB3  Homo sapiens   \n",
       "12235     P29320  EPHA3  Homo sapiens   \n",
       "13622     P29317  EPHA2  Homo sapiens   \n",
       "17323     Q9UF33  EPHA6  Homo sapiens   \n",
       "17777     P21709  EPHA1  Homo sapiens   \n",
       "\n",
       "                                         Uniprot Domains  \\\n",
       "501    Eph LBD:20:202;Fibronectin type-III 1:324:434;...   \n",
       "834    Eph LBD:32:210;Fibronectin type-III 1:331:441;...   \n",
       "2298   Eph LBD:19:201;Fibronectin type-III 1:322:432;...   \n",
       "3227   Eph LBD:17:202;Fibronectin type-III 1:323:432;...   \n",
       "3569   Eph LBD:60:238;Fibronectin type-III 1:357:467;...   \n",
       "4409   Eph LBD:30:209;Fibronectin type-III 1:328:439;...   \n",
       "6629   Eph LBD:31:209;Fibronectin type-III 1:328:438;...   \n",
       "7772   Eph LBD:39:217;Fibronectin type-III 1:339:451;...   \n",
       "12235  Eph LBD:29:207;Fibronectin type-III 1:325:435;...   \n",
       "13622  Eph LBD:28:206;Fibronectin type-III 1:328:432;...   \n",
       "17323  Eph LBD:34:212;Fibronectin type-III 1:331:441;...   \n",
       "17777  Eph LBD:27:209;Fibronectin type-III 1:332:445;...   \n",
       "\n",
       "                                            Ref Sequence  \\\n",
       "501    MALRRLGAALLLLPLLAAVEETLMDSTTATAELGWMVHPPSGWEEV...   \n",
       "834    MVFQTRYPSWIILCYIWLLRFAHTGEAQAAKEVLLLDSKAQQTELE...   \n",
       "2298   MALDYLLLLLLASAVAAMEETLMDTRTATAELGWTANPASGWEEVS...   \n",
       "3227   MELRVLLCWASLAAALEETLLNTKLETADLKWVTFPQVDGQWEELS...   \n",
       "3569   MRGSGPRGAGRRRPPSGGGDTPITPASLAGCYSAPRRAPLWTCLLL...   \n",
       "4409   MAGIFYFALFSCLFGICDAVTGSRVYPANEVTLLDSRSVQGELGWI...   \n",
       "6629   MAPARGRLPPALWVVTAAAAAATCVSAARGEVNLLDTSTIHGDWGW...   \n",
       "7772   MARARPPPPPSPPPGLLPLLPPLLLLPLLLLPAGCRALEETLMDTK...   \n",
       "12235  MDCQLSILLLLSCSVLDSFGELIPQPSNEVNLLDSKTIQGELGWIS...   \n",
       "13622  MELQAARACFALLWGCALAAAAAAQGKEVVLLDFAAAGGELGWLTH...   \n",
       "17323  MGGCEVREFLLQFGFFLPLLTAWPGDCSHVSNNQVVLLDTTTVLGE...   \n",
       "17777  MERRWPLGLGLVLLLCAPLPPGARAKEVTLMDTSKAQGELGWLLDP...   \n",
       "\n",
       "                                                 PDB IDs  \\\n",
       "501                             1B4F;1F0M;2QBX;3ZFM;8EBL   \n",
       "834                   2REI;3DKO;3H8M;3NRU;7EEC;7EED;7EEF   \n",
       "2298             2DJS;2EAO;3ZFX;5MJA;5MJB;6UMW;7KPL;7KPM   \n",
       "3227   2BBA;2E7H;2HLE;2QKQ;2VWU;2VWV;2VWW;2VWX;2VWY;2...   \n",
       "3569                                           2R2P;4ET7   \n",
       "4409   2LW8;2WO1;2WO2;2WO3;3CKH;3GXU;4BK4;4BK5;4BKA;4...   \n",
       "6629                                      1UCV;1X5L;3KUL   \n",
       "7772                                 3P1I;3ZFY;5L6O;5L6P   \n",
       "12235  2GSF;2QO2;2QO7;2QO9;2QOB;2QOC;2QOD;2QOF;2QOI;2...   \n",
       "13622  1MQB;2E8N;2K9Y;2KSO;2X10;2X11;3C8X;3CZU;3FL7;3...   \n",
       "17323                                                      \n",
       "17777                                2K1K;2K1L;3HIL;3KKA   \n",
       "\n",
       "                             Uniprot Domain Architecture  \\\n",
       "501    Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "834    Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "2298   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "3227   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "3569   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "4409   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "6629   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "7772   Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "12235  Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "13622  Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "17323  Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "17777  Eph LBD|Fibronectin type-III 1|Fibronectin typ...   \n",
       "\n",
       "                                        Interpro Domains  \\\n",
       "501    Ephrin_rcpt_lig-bd_dom:IPR001090:20:202;Tyr-ki...   \n",
       "834    Ephrin_rcpt_lig-bd_dom:IPR001090:32:210;Tyr-ki...   \n",
       "2298   Ephrin_rcpt_lig-bd_dom:IPR001090:19:201;FN3_do...   \n",
       "3227   Ephrin_rcpt_lig-bd_dom:IPR001090:17:202;Tyr-ki...   \n",
       "3569   Ephrin_rcpt_lig-bd_dom:IPR001090:60:238;FN3_do...   \n",
       "4409   Ephrin_rcpt_lig-bd_dom:IPR001090:30:209;Tyr-ki...   \n",
       "6629   Ephrin_rcpt_lig-bd_dom:IPR001090:31:209;FN3_do...   \n",
       "7772   Ephrin_rcpt_lig-bd_dom:IPR001090:39:217;Tyr-ki...   \n",
       "12235  Ephrin_rcpt_lig-bd_dom:IPR001090:29:207;Tyr-ki...   \n",
       "13622  Ephrin_rcpt_lig-bd_dom:IPR001090:28:206;FN3_do...   \n",
       "17323  Ephrin_rcpt_lig-bd_dom:IPR001090:34:212;Tyr-ki...   \n",
       "17777  Ephrin_rcpt_lig-bd_dom:IPR001090:27:209;Tyr-ki...   \n",
       "\n",
       "                            Interpro Domain Architecture  \\\n",
       "501    Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "834    Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "2298   Ephrin_rcpt_lig-bd_dom|FN3_dom|Eph_TM|Prot_kin...   \n",
       "3227   Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "3569   Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...   \n",
       "4409   Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "6629   Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...   \n",
       "7772   Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "12235  Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "13622  Ephrin_rcpt_lig-bd_dom|FN3_dom|FN3_dom|Eph_TM|...   \n",
       "17323  Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "17777  Ephrin_rcpt_lig-bd_dom|Tyr-kin_ephrin_A/B_rcpt...   \n",
       "\n",
       "                        Interpro Domain Architecture IDs  \n",
       "501    IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "834    IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "2298   IPR001090|IPR003961|IPR027936|IPR000719|IPR001660  \n",
       "3227   IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "3569   IPR001090|IPR003961|IPR003961|IPR027936|IPR000...  \n",
       "4409   IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "6629   IPR001090|IPR003961|IPR003961|IPR027936|IPR000...  \n",
       "7772   IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "12235  IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "13622  IPR001090|IPR003961|IPR003961|IPR027936|IPR000...  \n",
       "17323  IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  \n",
       "17777  IPR001090|IPR011641|IPR003961|IPR003961|IPR027...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Getting protein information for all proteins that have a specific ngram (e.g. 'FN3_dom|Eph_TM|Prot_kinase_dom|SAM':'IPR003961|IPR027936|IPR000719|IPR001660')\n",
    "rtk_dansy.retrieve_protein_info(ngram='IPR003961|IPR027936|IPR000719|IPR001660')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating a DANSy without the collapsing step\n",
    "\n",
    "A key step in DANSy is collapsing n-grams that are non-redundant, or in other words n-grams that represent the same family of proteins. This allows only domain n-grams that represent the maximum information in the network to be displayed. We can omit the collapsing step during the dansy object creation, but recommend only considering this step for small protein collections (<50) because the network can become difficult to understand otherwise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting to fetch n-grams.\n",
      "Finished getting all n-grams\n",
      "Starting to generate adjacency\n",
      "Finished building adjacency.\n"
     ]
    }
   ],
   "source": [
    "rtk_dansy_uncollapsed = dansy.dansy(protsOI=rtks, ref=ref, collapse = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos = nx.spring_layout(rtk_dansy_uncollapsed.G, seed=123)\n",
    "network_params = {'node_size':50,\n",
    "                  'edgecolor':'k',\n",
    "                  'width':1,\n",
    "                  'linewdiths':0.25,\n",
    "                  'pos':pos}\n",
    "\n",
    "rtk_dansy_uncollapsed.network_params = network_params\n",
    "\n",
    "rtk_dansy_uncollapsed.draw_network()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "ref": "2c1a11b6-bcc5-4cc4-981c-d8bc44f9a6ee",
       "rows": [
        [
         "name",
         "Domain n-gram Network"
        ],
        [
         "Proteins",
         "20"
        ],
        [
         "n-grams",
         "64"
        ],
        [
         "Network Isolates",
         "0"
        ],
        [
         "Network Connected Components",
         "1"
        ],
        [
         "Collapsed n-grams",
         "0"
        ],
        [
         "Network Edges",
         "389"
        ],
        [
         "Maximum Length of Protein Domain Architecture",
         "7"
        ]
       ],
       "shape": {
        "columns": 1,
        "rows": 8
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <td>Domain n-gram Network</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proteins</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n-grams</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Isolates</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Connected Components</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collapsed n-grams</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Network Edges</th>\n",
       "      <td>389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maximum Length of Protein Domain Architecture</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    \n",
       "name                                           Domain n-gram Network\n",
       "Proteins                                                          20\n",
       "n-grams                                                           64\n",
       "Network Isolates                                                   0\n",
       "Network Connected Components                                       1\n",
       "Collapsed n-grams                                                  0\n",
       "Network Edges                                                    389\n",
       "Maximum Length of Protein Domain Architecture                      7"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rtk_dansy_uncollapsed.summary(detailed=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dansy",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.22"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}