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June 28, 2026 08:13
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "db35e63f-40af-4f14-8bf8-3c4af32453ba", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from rdkit import Chem\n", | |
| "from rdkit.Chem import PandasTools\n", | |
| "from rdkit.Chem.Draw import IPythonConsole\n", | |
| "import pandas as pd\n", | |
| "PandasTools.RenderImagesInAllDataFrames(images=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "ae7da5d9-7f63-4bee-93a1-38389e0b6690", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df1 = pd.read_csv('./compounds_for_inference.csv')\n", | |
| "df2 = pd.read_csv('./predictions.csv')\n", | |
| "cols = df2.columns" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "7b2723cc-1d73-4550-bed6-c10fd2d843ad", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
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| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>OPENADMET_CANONICAL_SMILES</th>\n", | |
| " <th>OPENADMET_INCHIKEY</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
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| " <td>O=C1NC(=O)N([C@@H]2O[C@H](CO)[C@@H](O)[C@H]2O)...</td>\n", | |
| " <td>ATXHATZRJXXACM-UMMCILCDSA-N</td>\n", | |
| " </tr>\n", | |
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| ], | |
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| " OPENADMET_CANONICAL_SMILES \\\n", | |
| "0 CC1=C(/C=C/C(=O)N[C@@H](CO)C[S@@+]([O-])C[S@+]... \n", | |
| "1 O=C1NC(=O)N([C@@H]2O[C@H](CO)[C@@H](O)[C@H]2O)... \n", | |
| "\n", | |
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| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df1.head(2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "9f8fe7a6-e1fa-4b5e-96cf-64b88d4fbffb", | |
| "metadata": {}, | |
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| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>OPENADMET_CANONICAL_SMILES</th>\n", | |
| " <th>OPENADMET_INCHIKEY</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>CC1=C(/C=C/C(=O)N[C@@H](CO)C[S@@+]([O-])C[S@+]...</td>\n", | |
| " <td>ZIMCIWWBWLSQCN-HCGIDLGCSA-N</td>\n", | |
| " <td>4.204900</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.893461</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.002018</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2.676023</td>\n", | |
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| " <td>4.644873</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.725466</td>\n", | |
| " <td>NaN</td>\n", | |
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| ], | |
| "text/plain": [ | |
| " OPENADMET_CANONICAL_SMILES \\\n", | |
| "0 CC1=C(/C=C/C(=O)N[C@@H](CO)C[S@@+]([O-])C[S@+]... \n", | |
| "1 O=C1NC(=O)N([C@@H]2O[C@H](CO)[C@@H](O)[C@H]2O)... \n", | |
| "\n", | |
| " OPENADMET_INCHIKEY \\\n", | |
| "0 ZIMCIWWBWLSQCN-HCGIDLGCSA-N \n", | |
| "1 ATXHATZRJXXACM-UMMCILCDSA-N \n", | |
| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4 \\\n", | |
| "0 4.204900 \n", | |
| "1 4.286307 \n", | |
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| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6 \\\n", | |
| "0 3.893461 \n", | |
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| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9 \\\n", | |
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| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2 \\\n", | |
| "0 2.676023 \n", | |
| "1 4.725466 \n", | |
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| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df2.head(2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "c5590cad-0703-4ebd-81db-85c69f0cfe84", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "PandasTools.AddMoleculeColumnToFrame(df2, smilesCol='OPENADMET_CANONICAL_SMILES')\n", | |
| "df3=df2.reindex(columns=[df2.columns[-1]]+cols.to_list())\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "d5c437ac-3b38-44df-a35c-d741a714fb86", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
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| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>ROMol</th>\n", | |
| " <th>OPENADMET_CANONICAL_SMILES</th>\n", | |
| " <th>OPENADMET_INCHIKEY</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9</th>\n", | |
| " <th>OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2</th>\n", | |
| " <th>OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>20</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img 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paWlffbZZwMGDGjYvbu4uHh5eUVHR1exnhuePUpKSl5++WWxWDxw4EAlS5st6+vrr169mpiYuG7dOplMFhERwSQd0SpM2IyjT8KasGpra5lI4JJHMxjNmDGDyRzM4OjoOGbMmA0bNlxtLOk205/JZDImG91j/VliYqJR9faNcuHCBWZg0KNHjweGpzN8JiUlJRs3bly0aNFJ49u8y2bW5NOnT0skEqlU2rAQyKxZs8RisVYZT6aJbrI/4/q/h0Xi4uK8vb0BeHl5sV8n7JmcP39+48aNfFp8NizneZ8zZw7zx6oVUGFh4d3GdklfvXo1NjY2MjKy4VjV1tY2IiIiJiZGjxo1gvPPfyrs7FIBa1dXV/7L/h47duznn3/m2egzYFlYVVVVTAn4RtP33Lt3j7nTeXl5NRyEBgYGMv2ZgOmjDaG+niZMIDs7EonIzi5t1qz5Ajpz4cKF27dvC+gAA/slT06dOiUWi6VS6ZkzZ4hIqVRqwwoWDXZstWnThgkrFGo38Jsm9+7RoEEkkWhyhg8aVK9SCVaZ8vjx4+3atTtw4IBQDmjhpEgTkzauY8eOo0ePbhhEtrKyGjx48BdffJGRkWFIsT/j4eJF6tFDV+igZ0/iMc1nI/zyyy/Hjh3TvLl3T0BPOBFWRUWFq6urdmanHYbzmVyVB3bt0hU3AKhTJ129ZuE5fpzatdPl3ecdToRVWVnJPMv79NNP85lq488dK1aQm5tOVW3a8JTNsFns3k1t2ujSeAoBJ8JiUueEhYVx0bjgKBQ0ZYqukhRANja0aJHQbjVkwwZdKtikJBo0iP/CvpwIa9CgQQC+//57LhoXlpoa6t9fN1QHSCSi0aOFdutpMF2XEEk12RfW9evXxWKxjY2NCQU2W4RcrinGwfy8+CL7pYfZYd06at+e+I3TamF/lcWmTZvUavX48eOdjWFDPgfExEAqxYYNePAAPj6Ii9OkuTc6amvx++/w9NQdUSpx9y4cHB7JUKBSQSxGg2ceUKlYyNPPrk7VarWvry+AxMREdlvmjpQU+u67R47ExtLp00REq1fTpk2642fP0ldfaV4vXUoeHsaeuVmHQkELF5KTE7m4kIUF9eun68m8vSk+Xnfmn3+SWGy4QZaFdeLECQCenp5sPdXngXXraMCAR46EhWkE5O9PEomuEPDWrdS7t+40IwouNMlHH1HnzppcsTU1NG8euboSU52aG2GxsJi4IUzW/LfffrvR9UOmyCuv4L33oFY38lHXrrx7ox81NdiwAWvXanLFWltj1Sq4u2PjRu5ssjnGqqqq2r17N4ApU6aw2Kyw/P3vWLgQsbF47z2hXdGbq1dRU4PwcN0RsRjh4dDuSDt7Vpf7haVUAGwKa/fu3RUVFWFhYV1N5m9Zw7lz6NNH9zYnB2++qXltYYH16/HWWxg7VhDX2KCkBBYWj6cUc3HRaejQIWRkaF6XlbFik01hMffBadOmsdgmP/j54bvvdG9nzHjk06FDEREBuRxDhvDsF0t4eUGhwN27aNtWd7CwUFc5bdEi3d9Nejpeeslwm6wJKz8/PykpycbG5o033mCrTd6wt0fv3rq3T+4AWrsWgYFGkdBQH7y84O6OnTsxa5bmSFUVEhLwxRfc2WRNWM93+MrTE0uXYvFidOsmtCt6IJFg1SrMnAkAgwfjzh1ER8PbG1xuQmRnVkhEW7duhWneB5vJ3Lnw9xfaCb2ZPBm7d+PgQYwejXnzEBaGo0fB7LoLCUGbNrozHRwwcKDhBkVEZHgrSUlJAwcO9PT0vH79uskFGoqKcO8eevTQHcnMRJs28PBAair8/NC6teb49eu4fZuVEcjzDzu3QpMOX3l4wMPjkSPa0kChobqD77+PhAScOcOfYyYNC7fC5zJ89SS5uSgoEDKrr2nBgrBMN3zVIl59FQAOHxbaDxOBBWGZbviqRQwdCgCHD4ONQenzj6GD9/z8fB8fHysrq6Kioucy0NAQLy8UFOB//0P37kK7YvQY2mM93+Grx4iIAMx3w+ZhkLD+CuGrhpiHWc3HoFuhSYev9KCkBG3bwsICJSUmU35MKAzqsUw6fKUHrq4IDkZdHZKThXalKdauxaef6t7m5OAf/+DVAf2F9RcJXz2Gdm5o5Bw4gOho7N2reVtUhK1beXVAf2H9RcJXj2FCw6yRIzF7tgClQxj0F9bGjRvxlxm2awkNhZMTLl7EjRtCu9IUI0YgKAj/+pcw1vUUVkpKSlJSklQqNcXVV4YglWLy5DPh4XNPnIgX2pem+fJLfPONbnEon+gprPj4eAA2NjaOjo6s+mMCdOv2R1LS+v37fxHakaYJCMDs2fjgAwFM6ymsSZMm2draVlRUfPzxx+w6ZPy89tprAI4ePapSqYT2pWmWLEFBAR6W9cDdu3wZ1nvjWGJiolQqFYlE27dvN3wbmmnBZC1MTU0V2pFGyMoiIho8mGJjNUfi40kqpXbtqLiYXFwoKoqPzFn6D94jIiLWrFlDRNOnT//jjz/Yk7oJMHToUABHjhwR2pFHIMLKlejRA9u3P3J87FhNlOT0aVRVYetWdOuGXbs498Yg/va3vwFwd3e/efMmG0I3DX799VcA/fr1E9oRHVVVNGECASQW05dfUk4ONUwpXFJCmZlERFeu0CuvaNKZDB9O3CUvM1RY9fX1AwcOBBAcHFxdXc2KT8ZPZWWllZWVRCIpKSkR2hciops36cUXCSAHB9q7t5ETysroxg3Na7WaNm8mFxcCyM6OYmKIi3QILORuuHfvHlMlISoqyvDWTIXw8HAAu3fvFtoRSk3V5Bb09aULFxo/5733yNb2EQ0VF1NkpKbr6tfvqRfqDTtJQTIyMphyXKtWrWKlQeOHKY0kk8mEdePnn8nGhgAaMIDu3Gn8HKVSp6GQEF2uPyLat486dCCALCxILicWs6Gzlm0mPj5eLBaLxWIjL5/EFunp6QA6duwolANKJcnlGrnIZFRf38T5CQmPaEhbeqe0lGbPJrGYAOrcmbQ5lw2EzTRGn3zyCYBBg9ZmZ7PYqpGiUqmYAneXhMhmVF5OI0cSQFKpLmVXk5SVPaKh337TfXTqFAUEaDJfRkWR4UNHNoWlVqs//DBJLCY/PxY8M36YcqYffPABz3YvX84PDFQxqZqTklp8eUoKBQY2oqH6eoqJISsrAsjdnXbtMshJlhOvVVdrpicREWT0hboMJTo6mqm14ezszFTZ4CH3+JEjR1q1ajVw4D+7d6e8PD0baaghNzfavFn30fnzFBKiucOOGEGNVSNtFuwnty0sJA8PAmj2bNbbNi5u374dEhLSsGIZgICAgA8++CA+Pp6LSMS6deuY6o1jx46tqDA0SHD5Mg0apNOQNh6hUtFXX5GDAwHk7EybNtH/+3/k7a0LjF26RK1aNdE4J+m4T5/W/DV8+y0XzRsXarVaW8ms4Y4SsVgcGBj4tEqfLaWurm769OkARCKRXC5/sg6tvs5TbKwmCbSTE61bp0sIX1hI48YRQCtX0qRJZGdH77yj+Sgri5qMrHMiLCLavFkzATl+nCMLxkjDilQNy39KpVJtxUY9KpzdvXuXiUJbW1tv3bqVdbeLimj8eE3X1b+/5mkjw759pFDQpEk0eza1aqUZ0gkpLCL68EMCyNWVGqul+vxTXV2dnJz8ZDV1piZjdHR0YmJifZNBAqLMzEymuGb79u2bLLltCPv2kadn4zGtSZPok09o7VoKDKS6OqGFpVLR8OEEUGCgwDWxBEdbL/2xKrL29vbawp+NlkNLSEhgVryFhIQUM0mOueT+fZoxg0QiAigoiHJzNccZYSkU1L07LV8utLCIqKxMM7MdM4b/ai5Gyp07d+Li4mbPnh0cHNxw1N+2bVtmaslUy1ar1TExMWKxGMDEiRP5fA6bnEz+/uTtTZWVmiOMsIjo1Cmys6NDh4QWFhHl5JCzMwHEacHi2trajIyMrVu3vvXWW8dNZ1h3/fr1n376acqUKQ2LqwPw8fHp1q0bAIlEsnr1av4dq6l5JIu9VlhE9Pbb9NJLTQuLncRrz+bIERw8iFWrIGUpMaVCoSgoKMjKysrOzmZ+X7hwoa6uDoBEIiGiY8eOhTfMPm0K5OXlHT169OjRo8eOHSspKfH29i4qKtq1a9eoUaOEdg2TJ6NrVyxdCgAlJfD3x717TSVH4UbxjZCfTz4+tH697sicOfTll01fWFtL585RfPyFRYsWjR071s/P78n9sRKJxM/Pb9y4ccyz8ICAgIqKCu6+C6eoVKqUlBSmBntWgxna6dOni4qKBHFp7txHHhz98AP5+DRxCX/Cys0lgFxc6Pp1zZGJE+njjx8/rb6eLlyguDiKjqbISAoM1NRwGzAgSysjqVTq4+MzYsQIuVy+efPm9PT0qocFuAoLCwMCAgCMGTOGrWCPIDArKOfNm8e8nT9/Pp5Swp0fkpOpRZMHvoX14Yc0apTmCCOsK1do+3ZatIjGjiU/v0dKATI/Uil16UIzZ95dvHjxjh07MjIynh0Kunr1auvWrQF8/KRsTYc///wTgKurK/Nlf/vtNwAdOnQQpEiRWk1t2hDQglLAfAvrwQNq04b27CF6KCzt2g+tjHx8aMQIkstp82ZKT9enGuCRI0eYjR4///wz61+EN3r16gVg586dRKRWq/38/AAcFKLgWEYGAeTl1YJL+BYWEf30E3l5UUWFRlj79tH48bRkCf3yC2VmUl0dO+bWrl0LwMbGhtOgIqd8/fXXAIYMGcK8Xb58OYDx48fz78maNQToHuk0BwGEpVZTeDgtXtz4GItFZDIZAA8PDxPd6FFaWmpraysSiXJzc4mouLjYwsJCKpXyP4RnAt0tepjEclm55iAS4auvsH498vO5NfSf//wnPDy8qKgoMjKSCUaYFk5OTm+88QYRMWky3Nzchg8frlQqt/KbOEap1KRtGjSoJZdxJfIn0PZYDHPnEsBtj0Wmv9Hj5MmTANzc3BQKBRHt378fQJcuXRp9/sMRKSkEkL9/y67iT1h5eY8s4ikrIz8/WraMc7vajR6ChLANJzAwEMC+ffuISKVSeXl5AThx4gRvDnz2GQH0/vstu4o/YRFRcnLTa/65wKQ3eqxevRrAqIdBGiZZxpQpU3hzgFkM+N//tuwq/oR1/TqJxdSxozBLlqOjowE4ODhcYH0HHcfcu3fPyspKKpUyU5AbN25IJBJra+v79+/zYL2mhqytSSx+ZF91c+Bv8L55M9Rq9O/P2hPDFhEdHT1hwoSKiopRo0bdu3dPAA/0xdXVddSoUUqlctOmTQA6dOgQERFRW1u7/bEMDdxQUfH755//8NFHudpKVc2FG6E/jlpNvr4E0OHD/BhshOrq6j59+gAYMmSIwqR2ehw+fBhAp06dmIdUu3btAtC9e3ceTN+8uSg9HQUF/2jphTwJKymJAGrfnpM0Ac0nPz+/Xbt2AObOnSukHy1ErVb7+voCSExMJKK6ujpmS2NaWhrXpi9efCk9HWVlLQ7383Qr3LwZAKZNg7B5u728vOLj462srNatW/ddwyrQxo1IJHr77bcB/PDDDwAsLS2nTp2qfcsdKlVFdfUZkUhqZ9e/xRdzIfPHqKzU7CW6eJEHa03DDFYsLCz4nLQbyM2bNyUSiaWl5Z07d4goJydHJBLZ29uXl5dzZ7S0dF96Oi5dCtPjWj56rP/+FxUV6NfPWErfTps2bc6cOQqFYvz48Xl5eUK70yzat2//+uuv19fXM2H3Ll26hIWFVVZWxsXFcWe0vPwYAAeHV/S5mHWZPwmT6UubudAYUCqVw4YNA9CzZ89K7dJu42bv3r0AunbtyoTdt2zZAiAkJIQ7i1lZPdLTUV6uT7/OubCY8JW1NT14wLWpllFWVsYEtceOHWsSSwIVCoWHhweAU6dOEVF1dXWrVq0AZGRkcGPudnq66OxZW7Van+RGnN8KmfDVuHEwtrJzjo6O8fHxzs7Oe/bs+bRh3RljRSqVNhzC29jYMFlJfvrpJy7MVVQcB8jePkwkstLnetaV3hBjCF89m8OHDzNLAn/55YuHs68AAAe8SURBVBehfWmavLw8sVhsY2Pz4MEDIsrMzATg7OzMxeawwsKl6emi4uIV+l3OrbBSUjL699/m51ctbPjq2TAP46ytrXcZmLmHFwYPHgxgw4YNzFsm5MtRRvT6+lsKRQsf5TyEW2G9++67ABYvXsKpFcOJjIwEIJVKb2hTrhgrO3bsANCjRw/m7bfffgtg0KBBbLWvVtfdvLng/Hm/jIy2ly6FVVWd0a8dDoVVWVnJ7GG6aCTxq6dTVlZmaWkpEomYzPXGTF1dXZs2bQCcOXOGiMrLy8eMGbO30VTJelFcvOLCBf+qqjMKxe2ysiP19YX6tcOhsJgymUaVDP1pFBQUSCQSKyurAr0TjfHIhx9+COC9997jovHc3NH5+Sy0zOGskBGWSdSd27Rpk0qlGjt2rKenp9C+NI1MJmM2IFVVVRnSDpFSqbxXV3e1uvpMRcVvpaXxRCpb217372+/ezdWpSo3pHGuttjn5+f7+PhYWloWFxcbf4F7f3//nJycgwcPMgWYjJ/+/fufPn168eLFn3/+ufZgeXl5WVlZaWlp2UOY16Ghkk6drqpUZSpVmUpV+vBFmVr9uC579iyRSp1v3fri3r3vFIo7rVvP8PRcLRLps86Jq7VRW7ZsUavV48aNM35VnTp1Kicnx8PDY8iQIUL70lyCg4NPnz69cuXKAwcOMAJikgY2evKPP4Y7OCQ19olYKnWWSJgfJ4nECVADYje3hW5u8oqKE9euTZZKXdzdl+rhISfCoocPHEziPsjcsqdOnWpCJdOXLFny/fff19XVZTSocmlvb+/k5OTs7Oz0EOZ1x45eXl5vMdLRakgicZJIHJ5uQeTgMMjZeVxNzf/085CTW2FycvLLL7/cvn37/Px8I//fqqmp8fDwKC0tzc7OZpI+mAqpqalZWVm9e/d2dnZmBMTKP3Vp6R4rK19r66C6utzc3OGtW89wc1uoRzuc9FjaYbuRqwpAfHx8aWlpSEiIaakKQGhoaGhoKOvN1tRk3bwpr6+/LpE4ubhMbNfuIz0bMnxi+RhVVVVMdkPjD18RETOu+uabb4R25HmD/XDDV199VV5eHhIS4m8ky6+eTmFh4bFjx6ytrSdMmCC0L88b7AuLWfmfz/X+eTZgwldjxoxh1p+YYRH2hTVjxgwAxcXFTLIU44UoYc8eAMz6cTMsw8X9dc2aNQCkUulvDQtMGRspKbVWVv99/XVBUpk993DySGfevHkLFixQKpWRkZG5ublcmGCBTZus6urG9exp/FNXU4SrRzpqtXrMmDEJCQkBAQGpqalOTk5cWNGfmhp4eKC0FNnZMLVAg0nA1UNosVi8ffv2bt26Xbx48a233lKpVBwZ0pP4eJSWIiTErCqO4HB1g4ODQ0JCQuvWrQ8dOrRkyRLuDOmDdgetGW7gvIBAcnJyREREfX39tm3bJk+ezKmt5lJYiI4dYWGBoiKYAw3cwPkunQEDBnz55ZcAZsyYkZaWxrW5ZrFpE1QqjBljVhWH8DP5nDlzJgB3d3ejWKLp708ACZHX+q8DH7V0ACgUiqFDhx4/frx3797Jycm2trY8GG2clBSEhcHDAzduCJyi5LmGp2wzFhYWu3bt8vX1PXv27Ntvv82PmhuHGbZPnWpWFbfw2T1mZ2czCx9iYmL4tKujulpT5C47WxgH/jLwmuc9ICBgy5YtYrF40aJFCQkJfJrWkJsLJye89JI5fMU5/GuZWf/v4OBw/vx5/qyqVHT/PimVpFK1rIyVGb0QoDLFokWLJk6cWFFRMXLkyLt373Jur6wM77wDR0d06ABHR0ydigalv81whCAlT0Q//vhj3759r1+/Pn78+Pr6em7tjR+Pa9eQlYXKSuTk4NYtjBzZVHlQMwYjVFdZVFTUvn17AO+3tOZBi0hLIwsLys9vaJisrcl0kkSaKAL0WAzu7u6//vqrjY3N119/zWS24IQLF+DnBy+vhoYRFITz57myaAaAILdCLcHBwbGxsQBmz559/PhxFlpUKJCdjV278MknePNNJCTg7l24uDx+WuvWuHOHBXNmno4QVSIaEBUV9b///W/16tWRkZFpaWlMNvPmolTixg1kZSE7W/M7Oxs1NboTfHzQoweKih6/8OZNREay4L2Zp8PTI51noFarR48evX///mcvCVQoFJcvX87Ozs7KynqxrGz4kSO4cgUKxSMnicXw9kZQEAIDERiIkBCIRPD3x59/ondvzTlZWejRA5mZ6NaN42/2l0Z4YQGoqKgIDQ3NysoaPHjwoUOHpFKpUqm8ceNGVlYWoyTmd21tLXP+zO7dv2EGScyAKTBQ8/uFF2Bv/3jrM2ciMRHr16NHD2RlYe5c9OuHjRv5/Yp/OYxCWAByc3N79epVWVnZrl07FxeX3NxcxaO9kVgs7tSpU1BQUGBgYN/u3cf6+8PfH815mK1S4d//xvbtKC5Gu3aYOBFz5wpTKeqvhLEIC8AXX3yxcOFCkUikVqsBuLu7MzJifvfq1YupZ2nGJDAiYQH49ddfz5w5M2bMmICAABsbG6HdMaM/xiUsM88NQsaxzDzHmIVlhhPMwjLDCWZhmeEEs7DMcIJZWGY4wSwsM5xgFpYZTjALywwnmIVlhhPMwjLDCWZhmeEEs7DMcIJZWGY44f8D4a8mhT6y6voAAAH6elRYdHJka2l0UEtMIHJka2l0IDIwMjYuMDMuMwAAeJx7v2/tPQYgEABiZgYIkAJiWSBuYORgSADSjIxsCiZgmoUNLMDExMGgAKIh4kwIcXYHDZBBzGwOGWCakQ0igFAA1sgM46KbhyYMMw5uLMw+dogCRrgGmDUwewUgAhgmcDMysDAxMjEwMQNVM7CwsjCysjGwsSewc2QwcXAycHIxcHEzcPMw8PAy8PIx8PEzcAgkCAhmMLEIMQgJszAKizCIiDKIimUwiYkniEskSEhmMAkxMkiKJgiyJfBzMTixAG1hZWRiZhFiZWcTFOBg4+bh5ePnYhUTlZQQF3diBIYiAyyY628EO6wweGwH4li0qDqEblloD2IX5QY4RO9ScwCx7zDzOGQJZ4HZE72i7U9esgWzU3J+7GPakwFmO/rd23/wojGYvfXms/2mV5aDzbn+xf/AhthMMPvV8sID11P+7AOxi1eYHDgSfXk/iN0WHXbg5UTnAyA2f4zkgRk328BsiWVZ+ws+1ILZszcf35fJowJmX3m9er/Ltc1gvT35TQcYCrnA9mpwex640hIKZp/Q6rWvd9gHttdD1N/Wa+tVsB9lK57ZLV/UDNbbVPrZvuQ+xJwlV2UcFnkag82XX1njwNasC2YfTu5ymKi3EKyG446zg0zTc7D7xQAiGn6mjogdlgAAAoN6VFh0TU9MIHJka2l0IDIwMjYuMDMuMwAAeJx9VdtuUzEQfM9X+Adq7d32Aw9tUyqEmkhQ+Afe+X8x69AeV1icxCvHGY/3MutzKvl8O3/99bu8P3I+nUqh/3zHGOWnEtHppeSkPDw9f7mUx9f7h7eVx+uPy+v3IlFkYA8+H7H3r9eXtxUu16JVmagDW820KWNC8zl2SnksUr0HDy9cJVQ5NjgFTqt4RMemGuQstsEZzpXKvTV1bAhvhsm/OAcf1Q4+atgwwsegDS6Au4P/3YUkCTWs7QhbuZQ7rk2jhYKx04jWNsCejIz/1XkgZGXm2IUyEoiYbShnDgcz8rQBMt2QrXlvNt0dMnx3OHO6Ce9EWuf0I5BI7Tuo3FgV52vkjNxz0waa1QGrjhCDA1aFjUJ20CzQXQaDjLdkRZo67VLPfsu9DiKT5PdQ8a2vcUuqmrJazoxstG2yZqGsUgvmLD2Hsm1z1ROplY2VItWsIboNKkvFlUl6dEysBzzZqZ1AiWXPVGZbcNMxdkCe+jQnhnwRD6iNtg0k8+xB0OffyF22tRedvQZON5oiAHlsT7fyHfEOa9BJIhs0KrvIxRGQVRVDFfN08SG6UzNujQs4KUjJp0ZdoIEN8uly/nCV3C6Xh+vlfFwujIsDKfr8/EmPmyQX9bgwGMOOe4Ex/Gh/xojJwEevM0Y7Otow+tG3hjGO7uQcaxPyNLz0Gk8jS0vxNLp0Dk9jS4PwNL70AU8Ti9wtD2+LqC0N90W8GSGPRaOcBhL8ELSk35KKW7THaUQWjVka0UVLlkZs0YylEV+0kT9R+UUDNx/eF9LvfJ8cK5lmOP8emky/Y8lr6mNVQ/5+e01hfvoDumVMTKwe1L4AAAFdelRYdFNNSUxFUyByZGtpdCAyMDI2LjAzLjMAAHicJZEtj5wxDIT/SuGulIv87fiWVEpB0S0qqoqWv6TgyP34jlOUyHnsGU+ev/f3n394P89525e8Xrf9oXs/99b7dckdL4187Be//l4Xf/u66VQmqkHTTFN5PGT6Cq7BU0JVxkOneMQaMoOcpQlemTZ0hqfpeNBcICiBVHjVeLxh3nIhaUjDFko8UyMD0KKK/5VF6gIpZeZABVpWEKVZzPBxSpm+cvTIkvJEDSNEcg1MCFiygyk6beBC7rkOpRV4fLMpbBTHVjEcZmMVhyJQRCYDvIdKHGNqytrzjawas0kZ2B7Lh7IfRTZGYlDWEMTAk0ngFE0rYAW5kLcZ63g5tZPBzYnVezZo67aiTuqIeetLM27taIHN/oOyXMdjIip8gk0VixOBeLU8Fg/Sk5MLthz38fnjHSrj89e7TRu8kMPXP60Rcm/jWKvuAAAAAElFTkSuQmCC\" alt=\"Mol\"/></div></td>\n", | |
| " <td>O[C@H]1CO[C@H](CN2C=C(CN3CCOCC3)N=N2)[C@@H]1NC...</td>\n", | |
| " <td>CPTCAZJQJXCYHP-RRFJBIMHSA-N</td>\n", | |
| " <td>5.579963</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.718233</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.631224</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.632799</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>21</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>CC(=O)N1CCN(C(=O)CN(C)C)CCCCOC[C@@H](O)[C@H](O...</td>\n", | |
| " <td>AALLZOJOUYLMMR-ZMSDIMECSA-N</td>\n", | |
| " <td>3.739055</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.440714</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.239620</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.741136</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>22</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>O=C(O)CC1=CC(=O)OC2=CC(O[C@@H]3O[C@H](CO)[C@H]...</td>\n", | |
| " <td>QFIOCPUZLBGHSQ-RDZAWVCESA-N</td>\n", | |
| " <td>2.990485</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.922527</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.179329</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.545896</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>23</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>COC(=O)CN1N=C(C)[C@@H](C)N2C1=NC1=C2C(=O)N(CC(...</td>\n", | |
| " <td>JEIZSCIKCWRLLB-SECBINFHSA-N</td>\n", | |
| " <td>4.172819</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.154033</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.073341</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.273035</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>24</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>O=C(NCCCCCCNC(=O)N[C@H](CO)C(=O)O)N[C@@H](CO)C...</td>\n", | |
| " <td>WUBSWIDHCRRNAC-AOOOYVTPSA-N</td>\n", | |
| " <td>3.234553</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.261526</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.064508</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.554548</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>25</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img 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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>C[C@@H](O)[C@@H]1NC(=O)C[C@@H](C(=O)O)NC(=O)C2...</td>\n", | |
| " <td>BVIYBQOMVUHMPQ-PUYPPJJSSA-N</td>\n", | |
| " <td>4.021323</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.977811</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.637258</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.898707</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>26</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>N[C@@H](CCC(=O)O)C(=O)N[C@@H](CCC(=O)O)C(=O)N[...</td>\n", | |
| " <td>NKLRYVLERDYDBI-FXQIFTODSA-N</td>\n", | |
| " <td>2.127037</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0.828813</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.765125</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>1.357786</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>27</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAf/0lEQVR4nO2deVwT1/rGn5AAgsgmIC6IUFcEVMAqgpVS1KqglgKu2N7WH90E6f3Ucm2tVNtavFpL1d6KdalLr5bKVXDFBVFwx1YtKlpRKQoIlH0NSd7fHxMDrmwzk4TM95M/hmTyvm/IkzkzZ855joiIICDANnrqLkCgYyIIS4ATBGEJcIIgLAFOEIQlwAmCsAQ4QRCWACcIwhLgBEFYApwgCEuAEwRhCXCCICwBThCEJcAJgrAEOEEQlgAnCMIS4ARBWAKcIAhLgBMEYQlwgiAsAU4QhCXACYKwBDhBEJYAJwjCEuAEQVgCnKBBwvr1118tLS179eq1YcOGgoICdZcj0C5EGjLF/uDBg0FBQVKpVCaTMc84OTkFBwcHBAS4ubmJRCL1lifQWjRCWImJidOmTauvrw8ICPDw8MjIyDh69GhtbS3zqr29fUBAQEBAgI+Pj4GBgXpLFWgppG62bt0qkUgAhIeHKxQK5smampojR45ERET07NlTVaqxsbG/v39cXFx+fr56axZoFjULa82aNUwzFxUV9ax9MjMzY2JivLy8VA2inp6eu7t7dHR0RkYGn9UKtBx1CismJgaASCT69ttvW7J/Tk5OXFycv7+/oaGh6jDm4OAQFhaWlJRUX1/PdcFaxn//S++9RwsX0s2b/CdXj7AUClqyZDsAiUSydevW1r69oqJi165db7zxhpWVlUphFhYWgwYN+vHHH7koWPtYtIjmzaPbt+nkSXJ2pjt3eM6vBmHJZPTWWyQWN4waNW3Pnj3tCSWXyzMyMqKjo93d3Rl5mZiYlJSUsFWqtqJQkL09SaXKPzdupIULeS6hGWGpzqbZor6egoIIoM6dKTmZzcgXLlywtbUFcPToUTbjaiOFheTm1vjnyZM0cybPJTTTQTp48OCAgID169fn5eW1/wq0pgaTJ2PXLpib4/BhjBvX/pCNeHh4zJw5E0B6ejqbcbURS0uUlEDVkZSXB1tbvmt4juhu3LjR9ELM09Nz2bJlf/zxR9skXFpKXl4EULdudOlS22I0Q0JCAoCxY8dyEl27eOMNWreOiKi0lDw96bffeM7fTFN47969devWTZo0qVOnTiotOjg4REREpKb+pWrEm6WggIYOJYDs7Tm8RiksLBSJRCYmJg0NDVzl0HwUCioro+pqWrCAXn2V/P3pwAH+q2jpybuqx7JHjx6MvBwd6zp3Jn9/ioujgoLnvbe2lgYMIIAGDqTcXBaKfg79+/cHoNP9WxcukL4+zZlDRPTggbqqaPVVoVwuP3PmzOefr3JxIUD5EItpzBhasYJu3CAiqq8nd3di2syyMnr7bfr+e3Jzo8JCtst/grfeegtAbGws55k0ls8+I4DmzaPqajIyIldXqqvjv4p2dTfcuUOrV9PYsWRg0Ciy/v1p717q2ZN8fUmhoOJi8vYmIuKn/3Ljxo0AgoOD+UimmTDnHMnJtHs3AeTpqZYq2jVspk8fhIfj8GGUliIpCWFhsLXFzZuwtESPHvDwwMaNjTvzc/vY29sbQFpaGh/JNJDcXFy+DBMTjBmDvXsBICBAPZWwq1OZjNLSqLaWhg+nykpydaWsLOURix8UCsWrr27y9r6ZnS3jL6vmsHYtARQURHI52doSQJmZaimE5YF+YjG8vcH0UZiYYNEiREezm6EZRCKRsfE/0tP7paWJeU2sIaiOUufPo6AA9vYYPFgthXA7gjQ4GGVlnGZ4Cl5eAHDqFN951U9VFU6cgFiMiROVCps6VV21cCIssRhz5ii3v/8es2ZxkeSZeHsDAP/d73/9hf79cesWAGRlYf58vgtAcjLq6uDpCSsrJCUB6jvB4khYEgnmzQOAzZsxaxbMzblI8kzc3GBigqwsFBXxmrehARIJIiIAQCpFYSGv2QHQvn0AEBCAnBxkZsLMDKNH813EQ7htCouLce4cUlM5TfI4EgmGDwcRTp/mNS+AgQPh4ICdO/nOC0Aul7scP75i5MiayZMVjMLGj+fpUvxpcCssplXi/3RHXXkBfPklvv4aFRV85z179uzVnJy4oiLjgQMnJSW96+JyOySE7yKawK2wPDxgbIyrV1FSwmmex+H//F0qVW5YWODDD7FsGQCUleHBA54K2Lt3L4ApU6ZUVFSkpKZuuHbNzMeHp9xPg1th6eurp1Xy9IRYjIwM1NTwkW7rVgwY0KihN94AM8Pogw/g4oI9e/iogRFWQEDAoUOHpFKpt7d3165d+Uj8DDifsKqWVsnUFF9/jZ07Iea4M6umBm++iTfewN27OH4c774LACIRNmzAnDkoKkJREV57DW+/jcpKDsu4ffv2tWvXzMzMvLy8VArjMF9L4LoH9sABAnjtfCeilBRyd6fKSiKi/fuJo1vSN26QqysB1KkTrV9PCgWdOPHIDgoFxcVR587K8UKpqZyUQUTffvstgJkzZ8pkMuZAdYMZDqA+OBdWeTmJxWRoSLW1XKdqZN8+cnKiDz8kIvrlF4qOZj9FQgKZmRFAAwbQlStUXk5BQSQS0e7dj+95/Tp5eBBAenoUEcHJUANfX18AO3bsOHHiBICBAweyn6OVcN4Umppi8GDU1yMjg9cp15Mn48oVXLrEfuT6esyfj9dfR3k5AgNx7hzq6jBkCHbtgoXFUy7wBw7E6dNYtAgiEVavhqcnrl5VsFhPeXl5WlqaRCJxc3PTlHYQvMyEXrz4kIPDqzExMTzkYti3jxYupD/+oNGjaedOio6mjRtpzRq6e7e9kW/duhUcfI9p/pihv3FxZGhIALm7U3b289579iz170+GhnXOzi/GxMTI5fJ2FiOTyTIzM+fOnQtAJBKJxeJu3boBOHnyZDsjtx8+hPXzzz8D8Pf35yEXAyMsIvroI/L3p+ho5RBWgBwdKSKC0tKoDV9rYmKihYWFhUW/kSNrf/uNKipo+nRl2LCwFg04q6ykRYt+ZX7Svr6+f/31V2trqKioSE5OXrx4sa+vb+fOnZseI5gJCl26dNGEkdl8CCs3NxeAhYVF+3+jzVJXR2fONAqrspJ69aLFi2nbNgoJIVPTxgGJtrY0dy4lJlJ1dfNhGxoaoqKimG9uypQpJSUlly9fnjLlLkCmphQf37oiDx06xIzwNjMzi4uLa3b//Pz8pKSkqKgoLy+vx2xRHB0dQ0ND4+Lizp07FxkZCcDAwCAtLa11BXEATxNWe/fuDSCT47FBlZXk50edOtHPPzdegqWnk+r/XF9Phw9TeDj16dOoMD+/5YzXyP37958aNjc3d9SoUQAkEklMTIxCodiwYYORkZGZmf24cdVtmxtSWFg49eHQg+Dg4OLi4sd2yM7O3rJlS1hYmJOTU1MXJ4lE4u7uHhERER8fX/joWG+FQvH2228zev2N92k5j8GTsJgZf+uYsxJuKC2lUaNaMb3syhX66isaMYKcnIarmhIPD48lS5Y0/VaOHj3KnLjY2dmdOnWqpqaGOacBEBoaWt2Sw92ziY+PNzc3B2Bra5uYmJiRkREbGxscHNzUOgCAiYmJn59fdHT0kSNHampqnhNQJpMFBwcDsLGxycrKak9t7YQnYX3//ffMN8FR/PZMLysoKNiwYcPUqVObnrLY2dm9++67s2fPZo4WkyZNKi4uzsrKcnFxAWBkZMSWSUR2djYznNrU1LSpmHr16jVjxoy1a9devny5VacQ9fX1EyZMYD7C3fZfrbQVnoR1+fJlAA4ODlwEz8mh/v1ZmF5WW1vLTHGzs7Njvt2ePXvq6elFR0fL5fLt27ebmJgAGDBgwJUrV9grn2Qy2fDhwyUSiZ2d3Xvvvbd9+/acnJz2BKyqqmLa7sGDnQsL1XMiz5Ow5HK5paUlgFy2JxZmZZGdHQFsTi9TKBQZGRnTpk0DMGjQICKqra3t168fgNmzZ1dVVbGSZfPmzYGBgceOHZPL5YzrBIt6LSsrGzHCc+TIBFdXUotJCn9uM0zvsKOjY0JCQiVzt6XdXLqUa2NDAI0eTWVlrIRspLa21szMDA9vj1y6dGn9+vUsxmcarM2bN589exaAvb09i8GJ6MEDBXMg9/Zu0ZUvu/AnrI8++qjppY2Xl1dsbGwbOnJUnDt3ztLS0sdnia8vsSTUx5kzZw6ApUuXsh65qqqqU6dOenp6BQUFn376KYDw8HDWs+TmKq9//fz4nrXKqz/Wvn37PvnkEy8vL3GTUQfDhg1bvHjxhQsXWmWZdOjQIWNjYwAhISH19Vx1jx08eBDc3Hr73//+B2DUqFFE5OrqCuDw4cOsZyGiP/9UTgObOpX47DdVj6NfcXFxfHx8aGgo09YwWFtbh4aGxsfHN9tQ7tmzhzEpCQ0N5bSXuaGhwcbGBsAltv1x/vGPfwD4+uuvc3JymEtC7qwuL18mS0sCaM4cYtvv7Jmo2dy2oaEhLS0tKiqKOTVmMDIy8vPzi42NvXfv3pNv2bZtG+OyPG/ePNZ94Z7kvffew3O9d9uAXC5n+sauXr26Zs0a5rjLYvwnOXOGTEwIIA7a26ejfjtuFSp3ZD29xjEXTk5OjDsyo6G1a9cyr7L7TT+HkydPAujduzeLIj59+jRzHUNE48aNA7Bt2za2gj+L5GQyNCRPT3puDytraJCwVOTl5a1fvz4gIMDIyEilsN69ezPX5CKRaPXq1bwVo1Ao7O3tAZw6dYqtmAsXLgQQGRlZWVlpaGgoFouLiorYCv4cjh+nqiry8aGvv1Y+M2IEEZGPD6nyh4TQtWss5NJEYal4chkBQ0PDjRs38lzGV19tHTny1w8/ZO2XPnjwYADHjh2Lj48H8NJLL7EVuSW4u9Po0XTrFhHRoEFERCNHNnYBTpnCjtuDRgtLhUKhSEhImDFjxpYtW/jPfvEiAWRtzc5V1d27dwGYmZnV19eHhoYCWLFiBQtxW4y7O6Wl0YQJRE2EFR9PycmUnEyjRrEjLAm0AZFIFBgYGBgYqJbsbm4YNAjXr+P4cYwd295oe/bsATBhwgSxWMx0Z/A/4HPECPTsiV27Gp+5cQPMnVK2ZkRqh7DUTkgIlizBjh0sCEs1evj06dPFxcV9+/YdMGAACyW2kpgYjBuHujrln++8A2trADhxgp34GrReoSYzYwYAJCQ0fhNtgxmfLhaLx48fr5piykaBraZrV7z7Lu7e5SwBC82pbjBsGAFPmYTTKnbu3AnAx8eHiAYOHAgglbtJYc9g927lsGy5nBISiIgOHmy84ZOays5dV0FYLeXf/yaA2tmROWvWLADffPPNrVu3AFhaWvI/Pt3Hh/r0oYsXuc0iNIUtZfp06Olh3z5UVbUxglwuP3ToEICAgIDExEQAEydOZO4i8EZJCdLTcf8+HB25TSQIq6XY2cHLC6amyMpqY4TMzMyKiooBAwb069dPXRMADx6ETIYxYzg3LROuClvBp5+iRw+4uADA+fPo1w8WFq14+5AhQwoLC3NyckpLS9PT0/X19cexu5xQC+DNSVljjlhN3dnS0yGXA4BMhvR0JCbi3j01lfUIiYl47TVUVwPA2rXIzm51BHNz8yFDhhw4cEAmk40ZM8acX7PDhgYkJwO8CEtjjlhz5yrtOwGEh+PkSejrY8IEeHqid2/MnIl586BWJzGGV17B0qVYvhwA5HKkpkImA4DaWmVPhFSqVJ6RUVZeXiLzroqKCrlcDqCmpqa+vv7YsWMAJk2axHPxJ0+irAzOznBw4DyXxgjrSTZvxksvYckSAJg2DcOHIzgYTWbYqYXQUHzyCf74AwBqauDr+8w9fXzKUlP/9axXzc3N09PT58+fL+LxEzHt4OTJfOTSGGFJpfi//1Nu5+YCwKVLeO015TMWFujaFfn5eLhElLoQifDdd4iMRI8eMDDAmDHQ1wcAIyMw66Pp68PEBABsbY1HjIhi3mVqasoMmjUyMurUqVN2dvaaNWsSEhIWLFiwcuVK3orfvx/gy0lZY4Slr9+41sCZMwBgZPRIP3dtLR61KlAXw4Zh8GD8+ivmz3++b68r4Pqs18aOHevv7//NN9+Ym5svWrSI/SqfICsr38TEqHt38xdf5CGb5py8i0To1Uv5YA4Cvr74VemfgcxMGBujyThm9fLll9Br33/Oz89v586dEonks88+W7VqFUt1PY/ExK2XLln4+4e3s/KWwm3/a8t54YXG7aFDqaKCiGjBAhozhmbNIm9vYnWOaKvIzaXp0zmZQbVlyxaRSCQSiTZs2MB+9EdhprDubuc9qRajMcJqOpWg6bZUSirDDJmMliyhtq4d3GamTFFOs+ZiHs3q1asBiMXi+NZ61rSGwsJCsVhsaGhYwfxiuUdjhNUshYU0fjz5+FBeHp9pz50jKyulL02vXvQMQ5p2ER0dDeCVVxK5mQBGRLRp0yYAEydO5CrBE2iPsD7/nBYvJhnfi8W99JJSVaamjUPFWeeLLy4A1LkznT7NWszy8vLy8nJm+7XXXgPwww8/sBa9ObRHWCouXqTRo4klA4Xns2MHdelCABkY0Pvvc5hIoaC5cwkgM7N2jTvIy8tTWbTp6+t/9913RFRXV9elSxeRSMS6ccZz0DZhHT9ONjatttBrEzIZubkRQCIRTZzI+VRPmYxCQpSD669fb+m75HLKzJT+8MMPs2fP7tOnT9PLMgMDg0WLFhHRgQMHALi5uXFY/RNom7Cqq+nPPxu3ueSrr0hfnwB68UWeTDXq62nCBOXJ3HOcrRoaKCODYmMpOJisrEgkUlhZ2TBi6tKly2MWbUVFRcy9o2guTMmfjbYJi6GujubNo6Ag7jLk51fY2dUANHgwa+5ILaG6mkaPJoD69aP8/Edeun6doqLIy0tp0qx69O5N//znqv/85z9XrlxhLNru378fHx8fERHh7u7OzO+1srKKjIzk72Noq7DKyig8nH3joiaEhYUZG39hYVHIe+cGlZYq3QlfeeWR5w8fbhSToyOFhdGWLXT7NhFRQwP9/vv92NjYoKCg7t27N20QjY2NXVxcmN4yPqdkaqewHlJQUFDCga1Ybm5unz59bG1td+1KZD14S3jwgHx8KDOT/vUv5fGyvp5WrqRPP6UDB5Q/qKoqSkujmBjy9ydzc3J2PqMSk42Njb+/f0xMTFpaWl1dHT206hSLxTt37uTnI2ixsBQKxfDhw3/55RfWI/v7+3fp0mXZsmWsR24tJib05ptERFVV5OFBBQW0axdFRpKHB0kkjzSIzs71b789d9OmTc9aRWfp0qUA9PX19+/fz0PlWiwsImLLGbAp58+ft7Kyep/T3oUW4+pKQUGUmqoU1vz5jUoSi8nJSdkgttC+bsGCBQCMjIxOPLaaFAdot7AYkpKSpFIpW9GGDh06fvx4HtY6aAmurnT3Lrm7U0kJeXhQUhKNG0dLllBKSls68hQKRVhYGABTU9OMjAwO6m2kIwgrJSUl/7ErqLby888/Ozo6Pt9LnU9cXYmIvvqKliwhDw8WAspkspCQEAA+Pktb3lvWBkREvC7KxRFSqXT16tU3b9708PCorq6WSqXMk9XV1QAUCkV5eTmzZ3l5uUKhwMNRwqrd5HL5jRs3xGLxn3/+yfglaQJDhuDyZUilGDUKIhEuXGAhplQqDQ//ZcuWUGtrpKfD3p6FmE+BQ9HyCOOL13709fWPHTum7k/TyPTpyo1jx2j2bNbC1tTQmDEE0AsvcHVPv4McsYKCghISEiwsLIKDg42NjQ0NDQEYGBgwi02IRCLVfBjVKGHVbvr6+iYmJgqFYunSpfv27Xv//feZi/OOTUUFXnkFGRlwcUFqKiwt2U7AiVx5x8HBAcC5c+faE+T3338HYG1trQnLsvFAURE5ORFAI0aw72feEYTFrKfSrVu39l/KOTk5ATh06BArhWk+9+6RgwMB5OvL8trKGjPmvR0w09UnT56s1+7h3MwyJzt27GChLG2gZ08cOYLu3ZGSgtmz2YzccYTFig8C4waze/fu2tra9kfTCl54AYcPo3t3zJiBXbvAfG65HEeOAMDRo417Nt1uHjYPf+rgwYMHenp6RkZG7Vw6UIW7uzuABMY5Smdgeu4MDGjRIiKi2loaNozo0TkuTbebReuPWElJSQqFws/Pj1kBpf3MmDEDutQaMjDG5/3749QpXL/OQkCtFxbrfkDTpk1ztrGZVVqKykq2YmoLIhFWrMC8eVD1QRUX4803lY+ystbEYvFwyj81NTWdO3cWiURPXRylzSiY3sOtW1mMqRW4uBARffABbdyobAodHKigQPlo1TKm2n3EOnbsWHV1tYeHh2qFAVYQTZ8OADrWGqr48kuobmTo6aFbN+VDdc3NeEw9H+0WFle+eCEhMDDAkSMoLGQ5sjZgbo7IyGe+unEjli9HRERzUTg5pPKCQqHo1asXgN9//5396BMnEkA8TsTTTJp2OTfdfuutZt6oxUesixcv3rt3z87ObsiQIexHZ5zddbU1VNG0y1m1nZgIP7/m3shVRdyj6nDnxLtsyhQYGyMtDTk57AfXZmJjsWsXmvV61nphcWU83KULJk0C0SMrzggA48cjMrJ5N29tHTZz//59Ozu7zp07FxUVMcv4ss/u3QgMhLs7MjI4id+h0RhHv1aSmJhIROPHj+dKVQAmTMCXXyI4mKv4HRptFRYfBvydOsHdHR98ALEYhoaIicGgQRym61hoZVNYXV1tZWUllUrz8vKYVbs5IScHU6ciJQUWFsjMxMyZuHhRaWMp0BxaefK+bdu2uro6T09PDlUF4NAhBAcrF59wdoa9Pa5e5TBdx0IrhbVu3ToApaWl3KYpLX3ETtfcvJW3YXUarRFWfn7+jz/+OHnyZAcHh5KSEgDXrl0LDAwsKiriKuWAAcqVAhgyM6GOpVC1FfbvArBH/pUra9euff3111988UVbW1srK6tZs2YxAxmWLVtmaWkJwMbGhrlCZJPERNq5kxoayNub1qyh06cpMpJbS78Oh+YJKzubVqygyZNp6NCSLl0sAYlE4uzsHBUV9Zjjb05Ozssvv8z8PEJDQ9nxcWhooAULSCSizp3p9m2qraVNm+jzzykpiYXguoRmCOv6dfriC/L3JxcX6tpVZXyhMDT8vEeP77777lnWDAqFIi4ujhk76uDgkJaW1q4y7t0jb28CSCKh6GjSDPsGLYVjYU2Z8pTt//6XJk6kceNo/nyqqKCbN8nG5hFLHoAsLOillyghoSXWn1evXnVzcwMgkUiioqLqm9rEt5yUFLK1Vfo0pqe3JYJAEzgWVt++j2+npJCfn9LTc906Cg0lIho5slFS1tbk7U0nT7Yqj1QqjY6OZqY4Dx8+/Hqr/C4UCoqJIT095fy6goJWpRZ4KhwLy9GRcnKUjz59iIjeeYf27VO+qlCQvT3J5fTRRwRQnz4UFETP8A1rCadPn+7bty8AIyOjmJiYlsxfLSgoyAsMVPpNffGF0PyxBcfCsrGhsDDlw9yciOj11+ns2cYdBg+m8nLKzaV58+jvv9ufsLy8nLGAAjB27Njnj4U/ceJEjx49PJ2dpd27U3Jy+7MLqOC9Kfz4Y/rpJ+UzVVWtm6vWYvbv389YEZmbm2/fvv3JHRQKxbJly5gV5H18fEpYstcSUMG7sO7coSFD6OhRysyk0FBatYqjzA8ePJj8cC3R4ODgv5scDouLiydOnAhAJBJFRESw6AYooIJjYTXVjWr79m1asoT++c/Gky3O2LJli4mJCYDevXunpKQQ0YULFxhrmq5dux44cIDrAnQWzejH4pKbN2+OHDkSgJ6enoODg76+PgBPT8+/WugIK9AmOr6wiKihoSEmJkZPT48ZHR8WFtbGvi6BFqMTwmL46aefzM3Nv/nmG3UXohNo5UC/NjNs2LCzZ88yDpECnKI1w2ZYoaSk5MGDB+quQifQLWHV19fn5+eruwqdQLeEJZFIbt++re4qdALdEpaent7NmzfVXYVOoEPCamhoEIlEOcKUeV7QIWFVVFTIZLKKigp1F6IT6JawpFJpVVWVugvRCXRLWHV1dYKw+EEQlgAn6JCwiouLZTIZM5lH3bV0fHRIWEyfe11dHTPfVYBTdEhYzJzpyspKofOdB3RIWH///TeAqqqq3NxcddfS8dEhYZWVlQEgIqHznQd0SFh1dXXMRnZ2tnor0QV0SFjM0uJ4eLIlwCk6JCxmaXsAQlcWD+iQsFRHrErdW9aLf3RRWHl5eeqtRBfQIWGprCWLiopUJ/ICHKGtdtytorq6esWKFdeuXQNgbW29cuVKYT4F56h5lhD3JCUl2dnZARCJRGFhYWVlZequSCfoyMK6cePGuHHjmN+Ph4fH+fPn1V2RDtExhVVXVfXxxx8zs+mtra03bdqkaIEzoACLdMRzrL17DefPLzI2lslkoaGhq1atsrKyUndNOkfHmgn9558ID0dyMoC/AwPvLFzo4eGh7pp0lI4irNpaLF+O5ctRVwdzc3z+OebNg1is7rJ0lw7RFO7di/nzcecORCKEhmLlStjYqLsmXUeDO0gLCrBzp3K7qgobNyq3z5/H4sVYuhRXrgDAO+9g8mTcuYOhQ3HqFLZuFVSlCWiwsB48aFw2t6oKP/0EAHv34pNPMGkSfH3xzjtIT8fLL8PMDLGxuHABnp7qK1fgEbStKVy+HD/9hL59AWDVKixfjj174OcH4bpPw9BsYaWnY8IEAHg44gV//YUXXlBuDxoEZsieoCrNQ7OF5e2tbA0LCpRrMzOLBjKLUxYWCqdTGosGn2M9lZAQ/PvfAKBQYMUKTJum7oIEno4GC8vICA4Oym19ffTvDwBRUdDXx4QJmDQJ/ftj7lw1FijwHDpKB6mAhqHBRywBbUYQlgAnCMIS4ARBWAKcIAhLgBMEYQlwgiAsAU4QhCXACYKwBDhBEJYAJwjCEuAEQVgCnCAIS4ATBGEJcIIgLAFOEIQlwAmCsAQ4QRCWACcIwhLgBEFYApwgCEuAEwRhCXCCICwBThCEJcAJgrAEOEEQlgAn/D8dYaot/o5k3wAAAg96VFh0cmRraXRQS0wgcmRraXQgMjAyNi4wMy4zAAB4nHu/b+09BiAQAGJmBgiQBmI5IG5gZGNIANKMzOwMCiB5CJeJCUazM2iAhJnZHMA0C7sDKh+XODtDBohmZGJ3sAAz4DIcEBOZ4DoUTEAOYARKgFzABOfDnMABcSEjkkJkASYkATTHczMwMjAyMTAxA61lYGFVYGXLYGJjT2DnyGDi4Ezg5Mpg4uJW4OJJ4OFN4OXTYOLgTxDgZ2EUEGQQFGIQEmZhFBZhEBJlEBVjYRQVZxCXYGFikWSQlGKQYmTgZ00QF2DgZU9wYgHaxMYoJcnCzMTKxsrPwc7GycXDy87BKiggLiok7scIdBgDLNQ/z9tw4NNFHwcQ5+mapgM3OAzB7Dnh9geO7igCs5meH9u/+n0YmK2uPHu/19tP9iB2jUaqnUT0bjC7e8FW+5/rxcFqvs7TdAjZfRAsfucqr8Ntw/m2IPaJVn8HO8Gm/SB2ev00hyOzdMDs2PDtDnsDH4HZX5KXOKz86gTW+6+72cGg/i2Y3VUw0WHz4iCw+So55vYXvBzAZiaU8O/jnD0drPdm5xa7p5VqB0Bsrk3h+4NqEsDsmgv++ydbLwCzH4mxHVgvshPMNtrNcoB5lSaYPTk9/kCLkSdE/MnF/Re6Z4PNbPuidEBRdMkeEPvgZOEDj6XiIf4qzz+wRH45mC0GAKFyhFp3iqsbAAAClHpUWHRNT0wgcmRraXQgMjAyNi4wMy4zAAB4nH1Vy27bMBC8+yv4AyF2l/sgDz0kdhoURWygTfMPvff/0VkpiRiUqGyuJWq4L87Qp5LXj8v333/KxyWX06kU+s93jFFeGxGdnkvelIfHp2/Xcn65f3ifOd9+XV9+FomCh+3zGXv/cnt+n+FyLndWjYdSK60KUWMtVGm7jqVSruVOK/XmZEVquLPbAtjSo9TRR4jAYwwxpPIvUBPI1awBAWCz3qIvgJahuQoLMTKu8Nx95dHhkaoI3ARw6i14hQs4xGvuwwWltCBmX+A6/El1oybpz7iZjAVubDhh5z3/iGiywCH7a/ZYxZSyJMIS4xUy90VrUCOTckfVQ1HWCpkbYzVkKFv6DO/Mqyy5bUhugT7ifSC2L4PrFpwZmz2y32aqK04g4A1AvB29Z2GDRZceHaERkV3H5kh96Krj2K5zlstKNCTL4a66LqcjOIE14kgYjHPs4qAVcuxOO/ru6HurRmF9RTWhNyhzhKUyiEJitZnCiI+wNIw1Ehrgb6wkAR1smqAA1X3L1Zho6bWl11Z1kI/IO1bwc5nrm4C8jQjfFWJCS/HanqspKGpZIKXQV80S33MF8fpoAPRgWzvd9goCV/bB4AmWuLUF8vF6+XTo7MfQw+16OY6h/Mhx2OChtONIYQw9Dg7GsON4YAw/DgHFiEPritEPSSvGOJSrGDwrVNMwT0rkzcikON1m2qQsTcM6SUjSsE1a2UL5pAlOvuP3/PXpC08S2Of7xHTezJgYzWmSrvNayU5KcnNi6Y6UiYycBkz7vLa9zetEME4D9iSyTWzKjotPnOE0EhM3OM0RNRuPUo81Y3fOH2v2ndVjr5I2M0ny+f1/Dvenv9njWHzGZfgXAAABd3pUWHRTTUlMRVMgcmRraXQgMjAyNi4wMy4zAAB4nDVRu24cMQz8lZS7gI7gm5IXAQJsCld3VSrD1fbXuvHHeyQ7FakRORwOz7uc53279HnZtT2v7b6/PV/fL/v92J/6dv55fdcHAuJ2Pvaf7H+ij/085dfndgsKGd6MlNmkHTcn7pbSlCpTEojS6KMUNTU0DIhQhI2JWHTrC1FRliaE0l7tYFK1mQl5GroPJNJHgtiKBYBSBpuhIsQmr4IkpTcmripDdkCXa3jDAMZftMOp2DjajSnLMaMdQaXDZRZV9kkdJHMm4y2BZdAlwt2nvgj3CSCMMRcfoj4Fl6TDCkz3HBCNtZjEmbEpqKW766yz0BRIgn4WGausQ2W2m1FwxQ8kUgWdQcyltYzkEbKg6jDnGyobtshi2m/kg2syiVvJsjYNnrblcehqCk+paQHjbDq+rwRX+oD8XhLsi6tccmBpfGW0vX38fVFsnO3j34skgUM6Lt8U3Pb5BXZse9wbubBdAAAAAElFTkSuQmCC\" alt=\"Mol\"/></div></td>\n", | |
| " <td>CN1CCN(C2=NC3=C(N=C(N)NC3=O)N2[C@H]2O[C@@H](CO...</td>\n", | |
| " <td>HDCQGHNJHFUBMS-DTITTZBUSA-N</td>\n", | |
| " <td>3.647512</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.549119</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.860913</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.297872</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>28</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img 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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>CC1=CC=C(NC(=O)N[C@H]2C[C@@](O)(C(=O)N[C@H](C)...</td>\n", | |
| " <td>HDNZXHPGJIKYQD-PWFODCCWSA-N</td>\n", | |
| " <td>4.594565</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>5.001638</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>5.079288</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.562104</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>29</th>\n", | |
| " <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n", | |
| " <td>NC(=O)OC[C@@H]1N=C(N)N2C[C@@H](OS(=O)(=O)O)C(O...</td>\n", | |
| " <td>ARSXTTJGWGCRRR-XXKOCQOQSA-N</td>\n", | |
| " <td>3.012724</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>4.037726</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.897210</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>3.623235</td>\n", | |
| " <td>NaN</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " ROMol \\\n", | |
| "20 <rdkit.Chem.rdchem.Mol object at 0x749975ed7140> \n", | |
| "21 <rdkit.Chem.rdchem.Mol object at 0x749975ed71b0> \n", | |
| "22 <rdkit.Chem.rdchem.Mol object at 0x749975ed7220> \n", | |
| "23 <rdkit.Chem.rdchem.Mol object at 0x749975ed7290> \n", | |
| "24 <rdkit.Chem.rdchem.Mol object at 0x749975ed7300> \n", | |
| "25 <rdkit.Chem.rdchem.Mol object at 0x749975ed7370> \n", | |
| "26 <rdkit.Chem.rdchem.Mol object at 0x749975ed73e0> \n", | |
| "27 <rdkit.Chem.rdchem.Mol object at 0x749975ed7450> \n", | |
| "28 <rdkit.Chem.rdchem.Mol object at 0x749975ed74c0> \n", | |
| "29 <rdkit.Chem.rdchem.Mol object at 0x749975ed7530> \n", | |
| "\n", | |
| " OPENADMET_CANONICAL_SMILES \\\n", | |
| "20 O[C@H]1CO[C@H](CN2C=C(CN3CCOCC3)N=N2)[C@@H]1NC... \n", | |
| "21 CC(=O)N1CCN(C(=O)CN(C)C)CCCCOC[C@@H](O)[C@H](O... \n", | |
| "22 O=C(O)CC1=CC(=O)OC2=CC(O[C@@H]3O[C@H](CO)[C@H]... \n", | |
| "23 COC(=O)CN1N=C(C)[C@@H](C)N2C1=NC1=C2C(=O)N(CC(... \n", | |
| "24 O=C(NCCCCCCNC(=O)N[C@H](CO)C(=O)O)N[C@@H](CO)C... \n", | |
| "25 C[C@@H](O)[C@@H]1NC(=O)C[C@@H](C(=O)O)NC(=O)C2... \n", | |
| "26 N[C@@H](CCC(=O)O)C(=O)N[C@@H](CCC(=O)O)C(=O)N[... \n", | |
| "27 CN1CCN(C2=NC3=C(N=C(N)NC3=O)N2[C@H]2O[C@@H](CO... \n", | |
| "28 CC1=CC=C(NC(=O)N[C@H]2C[C@@](O)(C(=O)N[C@H](C)... \n", | |
| "29 NC(=O)OC[C@@H]1N=C(N)N2C[C@@H](OS(=O)(=O)O)C(O... \n", | |
| "\n", | |
| " OPENADMET_INCHIKEY \\\n", | |
| "20 CPTCAZJQJXCYHP-RRFJBIMHSA-N \n", | |
| "21 AALLZOJOUYLMMR-ZMSDIMECSA-N \n", | |
| "22 QFIOCPUZLBGHSQ-RDZAWVCESA-N \n", | |
| "23 JEIZSCIKCWRLLB-SECBINFHSA-N \n", | |
| "24 WUBSWIDHCRRNAC-AOOOYVTPSA-N \n", | |
| "25 BVIYBQOMVUHMPQ-PUYPPJJSSA-N \n", | |
| "26 NKLRYVLERDYDBI-FXQIFTODSA-N \n", | |
| "27 HDCQGHNJHFUBMS-DTITTZBUSA-N \n", | |
| "28 HDNZXHPGJIKYQD-PWFODCCWSA-N \n", | |
| "29 ARSXTTJGWGCRRR-XXKOCQOQSA-N \n", | |
| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4 \\\n", | |
| "20 5.579963 \n", | |
| "21 3.739055 \n", | |
| "22 2.990485 \n", | |
| "23 4.172819 \n", | |
| "24 3.234553 \n", | |
| "25 4.021323 \n", | |
| "26 2.127037 \n", | |
| "27 3.647512 \n", | |
| "28 4.594565 \n", | |
| "29 3.012724 \n", | |
| "\n", | |
| " OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp3a4 \\\n", | |
| "20 NaN \n", | |
| "21 NaN \n", | |
| "22 NaN \n", | |
| "23 NaN \n", | |
| "24 NaN \n", | |
| "25 NaN \n", | |
| "26 NaN \n", | |
| "27 NaN \n", | |
| "28 NaN \n", | |
| "29 NaN \n", | |
| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6 \\\n", | |
| "20 4.718233 \n", | |
| "21 4.440714 \n", | |
| "22 4.922527 \n", | |
| "23 4.154033 \n", | |
| "24 3.261526 \n", | |
| "25 3.977811 \n", | |
| "26 0.828813 \n", | |
| "27 4.549119 \n", | |
| "28 5.001638 \n", | |
| "29 4.037726 \n", | |
| "\n", | |
| " OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2d6 \\\n", | |
| "20 NaN \n", | |
| "21 NaN \n", | |
| "22 NaN \n", | |
| "23 NaN \n", | |
| "24 NaN \n", | |
| "25 NaN \n", | |
| "26 NaN \n", | |
| "27 NaN \n", | |
| "28 NaN \n", | |
| "29 NaN \n", | |
| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9 \\\n", | |
| "20 4.631224 \n", | |
| "21 4.239620 \n", | |
| "22 4.179329 \n", | |
| "23 4.073341 \n", | |
| "24 4.064508 \n", | |
| "25 4.637258 \n", | |
| "26 1.765125 \n", | |
| "27 3.860913 \n", | |
| "28 5.079288 \n", | |
| "29 3.897210 \n", | |
| "\n", | |
| " OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp2c9 \\\n", | |
| "20 NaN \n", | |
| "21 NaN \n", | |
| "22 NaN \n", | |
| "23 NaN \n", | |
| "24 NaN \n", | |
| "25 NaN \n", | |
| "26 NaN \n", | |
| "27 NaN \n", | |
| "28 NaN \n", | |
| "29 NaN \n", | |
| "\n", | |
| " OADMET_PRED_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2 \\\n", | |
| "20 4.632799 \n", | |
| "21 4.741136 \n", | |
| "22 4.545896 \n", | |
| "23 4.273035 \n", | |
| "24 3.554548 \n", | |
| "25 4.898707 \n", | |
| "26 1.357786 \n", | |
| "27 4.297872 \n", | |
| "28 4.562104 \n", | |
| "29 3.623235 \n", | |
| "\n", | |
| " OADMET_STD_openadmet-AC50_OPENADMET_LOGAC50_cyp1a2 \n", | |
| "20 NaN \n", | |
| "21 NaN \n", | |
| "22 NaN \n", | |
| "23 NaN \n", | |
| "24 NaN \n", | |
| "25 NaN \n", | |
| "26 NaN \n", | |
| "27 NaN \n", | |
| "28 NaN \n", | |
| "29 NaN " | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df3.iloc[20:30,0:]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "5cba1c36-075c-4dce-bced-df41aac993c5", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(9999, 11)" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df3.shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "0b4aabe3-7f34-4611-a59b-97d1f0a0344e", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "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": "3.12.13" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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