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ptosco/ExocyclicTautomers.ipynb

Created September 23, 2020 15:10
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ExocyclicTautomers
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ExocyclicTautomers.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import rdkit"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2020.03.5'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rdkit.__version__"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from rdkit import Chem\n",
"from rdkit.Chem import PandasTools\n",
"from rdkit.Chem.Draw import MolsToGridImage\n",
"from rdkit.Chem.MolStandardize import rdMolStandardize"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This function enumerates and scores tautomers for the molecule passed as parameter, puts them in a `pandas.DataFrame` and sorts it by decreasing score."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def get_tautomer_dataframe(mol):\n",
" te = rdMolStandardize.TautomerEnumerator()\n",
" res = te.Enumerate(mol)\n",
" df = pd.DataFrame({\"TautSmiles\": [Chem.MolToSmiles(t) for t in res], \"TautScore\": [te.ScoreTautomer(t) for t in res]})\n",
" PandasTools.AddMoleculeColumnToFrame(df, \"TautSmiles\")\n",
" df.sort_values(by=[\"TautScore\", \"TautSmiles\"], ascending=[False, True], inplace=True)\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"smi = \"Cc1ccc(NC(=O)N=c2[nH]c(C)cn2C)nc1\""
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"mol = Chem.MolFromSmiles(smi)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<rdkit.Chem.rdchem.Mol at 0x7ff2f5a2c490>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mol"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"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>TautSmiles</th>\n",
" <th>TautScore</th>\n",
" <th>ROMol</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Cc1ccc(NC(=O)N=c2[nH]c(C)cn2C)nc1</td>\n",
" <td>206.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATSklEQVR4nO3de1RU5frA8We4C84M4g1RQSw5gKIn1KSsVITWyZVmJscySEud1E4kmg3Ln0axrDXWWjquU8vGpIKfC23UheHROBp2SLwu1/ECSnlBLQVBGu4MMMM8vz9eHBFhHGA/Az98Pn/pMOx303x7957tvBsZIgJjUnPq7h1gvROHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMBIfFSHBYjASHxUhwWIwEh8VIcFiMxKMY1t698N13AADXr8OKFd28M73VoxgWcwCX7t6B7pGeDmfPQlUVKBTdvSu91CM6Y82fD1otfPhhd+9H7/WIhsWoyRCxu/ehWV1dnZubm4vLI3p07mV6xIxVW1u7efPmwMDAN998c+rUqZcvXyYdbu9eCA4GsxmuXIHERNKhHK3nvOHt5rCMRuPGjRtHjhy5YsWK0tLSjIyMnJyc8PDwzZs3WywWunEnTYKtW+k2z7ovLJPJtHXr1lGjRq1ataq0tDQiIiIzM7OwsDAuLq6mpmbFihUTJkw4c+YMwbgAAC+8ALm5UFsr+eZbc/zsmJ4OK1ZAcrIjxrKhG8IymUxpaWkhISFvv/32rVu3wsLC9Hr98ePHZ86cOWjQoLS0tP379/v7+585c2bSpEmJiYkNDQ2SjHvnDiQmwtixYDYDACQkgFYLALBpE1y4IMkIbXPw7NhD3vA6NCyLxbJr167Ro0cvWLDg6tWroaGher3+3LlzMTExLZ82Y8aMvLy8+Pj4pqamDRs2hIWF5eTkdGXcO3fg/fchIAA2bIBLl6CgAABg4kSor4c//oBVqyA8HD7+GBobuzJIG377DcCBs2PPgg5hsVgyMzPHjRsnBg0MDNTpdGazudXTiouL58yZc+XKFfHX3NzckJAQAJDJZCqVqqqqqqPjVlWhRoNKJQKgTIYvvohnztz3hMpKjI9HJycEwNGj8fjxzv6E9zt/HmNiUCbDzz/HHTvw1ClcuBDVavzgA1Srsb5emlF6MkeEdejQofDwcJFUQECATqczmUxtPnPRokUA4Onp+fnnn4vsjEZjUlKSm5sbAIwYMSIrK8vOQaurUaNBb28EQACMisLTp9t9cm4uBgcjADo5oUqFHQ/4nrw8nDMHZTIEQLkcExJwxw5ExFdfxWXL0MUFAXDMGDxxovND2JCRgX/5C5pMePkyqtUkQ9iJNqxDhw5NnDhRJDVs2DCtVltv8/9Wg8GgUqlkMhkAjBs37vTdFs6fP//kk0+K7cTExNy5c8fGRmpra7Va7ZQp/yOSmjwZc3IevqtGIyYloZsbAuCIEWh3wPcUFqJKhc7OCIDu7qhSYXFx6+ccOXJfwdXVHR7FtowMfOMN/PLL3htWbm7utGnTRAoDBw7UaDRGo9HO7/3xxx8DAgIAwMXFRa1Wi280mUxarbZv374AMGjQoNTU1Ae/0Wg0arXawYMHi3FjY2/Zk1RLZ85geDgC4OOP57/55ltlZWX2fNe1a1ULFzbPRu7u+O67WFTU7pNbFfzvf3dsD9tUU4PffIPPPINbt+KOHfjaa3j2bG8M6+OPPxYv7YABAz777LPa2tqObqG2tlatVjs7OwPAY489lp2dLR6/evVqVFSU2PiMGTNu3LghHm9sbNTpdEOHDhVfmjRpUmZmZud23mTCDRtw/PhpADB48OCdO3faePIff/wRHx+vVA729TW7umJcHF69atco//1vc8EAuGAB/vln69NNO504gUuWoFzevKnXXrvvlK4bSR9Wbm7uU0895eHhoVarKyoqurKpY8eOjR492nryXllZiYgWiyU1NbV///4AoFAoNm3a9P333z/++OMiqTFjxuj1eovF0sWfolXBv//+e6snFBcXx8fHe3h4AICzs7NafciepBIS7p28m0yo1aKXFw4fXhgYOLLNObg95eWo0+Ff/9rcEwCOH486He7Yce+UTq3Gkyfx4kX7tyol6cPauXMnALzyyiuSbK2xsVGj0bi7uwPAkCFD9uzZIx4vKip6+eWXRXPi5R89evSuXbu6npRVq4K1Wm1TUxMilpWVJSUlyeVyMXpMTMyvv/5qzwavX28+XIaEYG5u84OXL2Nc3GrxI8yaNevmzZs2ttDU1JSVlZWQcFIcSQFw8GB8/30sKGjjyf/5D3p44KhRaDB09EeXgPRhff311wCwaNEiCbeZn58fERFhPXkvKSkRj+t0OmdnZ7lcvn37dvGqS664uHju3Lli6IiIiGXLllmTmj179vnz5zu0taNHMTS0+dqHSoWVlYh3C/bx8WlVcEs3b97UaDSBgYEAMHz4cy4uGBWFej02NrY7Vl0dTpyIABgdje28CyckfVibNm0CgPfeew8Rb968qdPprGdIXdHU1KTT6eRyuUwm++mnn8SDFy9eBIDg4OCub9+2NWvWDBw4EADE3DllypSTJ092blP19bhuHbq6IgA+8UTR/v37xeMtC548eXJBQQEi1tfX79y58/nnn3dyar6UPXLkyPXr19+6ZdelsFu30M8PAXDlys7tbOdJH1ZycjIArF27FhEzMzMB4MUXX5Rq49euXfvyyy+tfz158iQATJgwQartt6m+vh4AXF1dt2zZsm3bthEjRgDAhQsXurLNvDycNAkjIuaIObi0tFQ8rtfrfX19AaBPnz6RkZHiQAwAHh4e8+fPz87O7uix/uhRdHdHANy2rSv722HSh/XBBx8AgEajQcT09HQAePXVVyUfRcjOzgaAadOmEW1fKCsrAwAfHx/x1+HDhwOA9Q1pp5nNlo0bN3p5eYm3z9u3bxePl5eXi4t5Q4YMAYDQ0FCNRmP70p1t336LAOjhQXVVtk3S/1thTU0NAIgLTtXV1QAgTkooiO2Lsei0GkWqH8rZWZaQkJCXlxcdHV1WVhYbGztjxoyysjJvb2+dThcdHV1cXPzJJ59cuHBBrVYPGDCg0wMtXAjvvAP19TB7Nty82cW9tpf0YbX8794yMgpi+3ThtjmKtD9UYGDgwYMH9Xr9gAEDrl27Zt2sOOBaD4VdpNVCZCT4+R2KjY02Go2SbNM2qrB664xlNBrNZrO7u7urq6uEQ8TExOTl5e3evVtcGAMAhUIBAJWVlZJs38UFvv/eVFm5PCfnp6VLl0qyTduoDoW9dcaiG9HX11dcDRZEWKJpSQwY4JqZ+YNCoUhLS9u4caNUm22PI2YsurAaGmSk2xdazrvUc7CVtDOWEBoampqa6uTktHr16gMHDki45Qc5YsaiexkMhlUAqFDQflzywbcj1CnD3bCqqqqk3ezs2bPXrVtnsVhiY2NJF61Iv9bKkTNWTQ0AgJcX7edgQxE3PvWU7/DhAOBcVzfN39/Pz490RABQKpVAEBYAJCUlFRQU6PX6mTNnnjhxwtvbWzze1NRUVVVVXl5eXV1ddVd1dXV5eXnLv1ZVVVVUVFRWViqVytOnT7c3ivRhOXLGEmcg1MelCbdvTzh+HJ59FgDGVFYe/v13CAmhHZLmUCjIZLKUlJSCgoK8vLzg4GClUilyqe3gp6f79etn46u0YVHPWCIs8uNSy2HEJEl/KPTxCZoyJdPPz9aL1yF79+49ePCgRqNRKBR9+/ZVqVQJCQnl5eUlJSXiCTKZzNvbW6lUKhQKuVyuUCgUCoVSqRSPCHK5XKlUent7i7/aGE7isBoaGhobG11dXcWHialnLPEqk59JtxzGMZMkgJeXf06Of1CQNFurqKh45513ioqKnnjiiSVLlhgMhvXr15vN5rVr177++uuiGGlfJonDalWSY2Ys8le55TCOmrHEdCDVKdbq1auLiooiIiLEqoKVK1eWlJRMmTIlOTnZ+rkjaUl82tvq3bhjzrEceih01IwlYVg5OTkpKSnu7u4pKSlOTk6HDx9OS0tzd3f/6quviKoCohnLOkVlZ2cbDAbbB+OuDQfg4EOho2YsLy9wcYG6OjCZoCsX+Y1G4+LFixFx3bp1oaGhdXV1S5YsQcTk5OTg4GDp9rc1icNqNWNZV30RcXeHPn0cNWM5NiwxYHk5VFVBV/7BMCkp6cqVK2FhYeJTJ2vWrCksLBw3blxCQoJkO9oWKQ+FFotl//79AGAwGKRaF2/V5vYKC6GuDpRKaYd6QMuYHHUoBCmOhufOndNqtU5OTjqdztXV9dSpU1988YWLi0tKSoq0/9bZBqk+f2NdlSqu7I0aNernn3+WZMulpahWY2Agtlzs49CVmR99hAsW4K1biIhqNYaF4b/+RTwkIuLYsQiAZ8928ttNJpN4RVatWoWIDQ0NY8aMAYDExEQp97IdEoR14MCBCRMmiEz9/f3VarU4eHd6XbxVaSmuXIl9+jSv8Ny3796Xes7KTDrPPIMA+Msvnfz2Tz/9FABGjBhRXV2NiB999BEABAUF1dXVSbmX7ehSWEeOHJk6dapIquWqVLG0RlzK8vPzy8jI6OiWDQbDmjVNffs2rzt45RXMz2/+ktGIWi2mpTl2ZWZjIy5fjsuX4/z5nX+pO+jbb1Gjwc59UvW3337r06ePTCY7ePAgIhYUFHh4eMhkMknWH9ijk2EdO3Zs+vTpIqn+/ftrNJoHV6W2Whdv/Vi3bdXV1RqNxtvb++mn01vdc6GxEXU6HDoUAXDOHMeuzNTpMD0dEdFsxunT6cfr0rHeYrFERkYCwFtvvYWITU1NkydPBoClS5eS7GtbOhxWy7sOyeVy26tSxdIacfWhX79+Op3OxpZramo0Go31M5Pz5y+1fkbbZMJt2zAgoHkxXXg4fvjhfSszyb37Ll6+3Pznv/+9S7cNsU9XjvVbtmwBAF9fX4PBgIibN28GgCFDhpSXl5Psa1s6EFZ+fn5MTIy4pNa3b1+1Wm3njhYWFkZHR4tcWq6Lb2nPnj3Wey4899xzv9w93DQ1oV6PQUHNSYWGol6P0i1KtduWLSjW2pvNGBXlgAEzMu471s+bh8nJeOyYXSsEFy5cCAB6vR4Rb9y4Ia7+dOKEpCvsCqugoCAuLk7cScHT0zM+Pv727dsdHUmv14vZyNPTU6PRtFqTmZubC/ffc8FisezenTF2bINIKigI09ORZlGqHRobcdkyjI/H2FiU6N2uDQZDc1jiWP/22/eW0nt5YVQUajR4+rSt/8GOHDki/jBz5kwAmDdvHvU+t/KQsK5fv65SqcQtst3c3FQqVZGNG6k8zO3bt+Pi4sS09PTTT1+8/74Cx44ds/7ZevHi2We/8vdHna4b1vJ2C5MJ1WoMCMDU1HvH+pUrce9e/Mc/MCTkXmEAOGQIvvEGfvfd/z54awkhLS0NAHx8fDoxEXRRu2GVlJQsXrxYXEZzc3NbtmyZ7dsK2G/fvn3Dhg0DAFdXV7Va3dDQ0PKrWVlZ1lP+YcOGpaTssLGKvJe5cwenTm1eA/jjj20/5/Zt1OtRpUJ/fzGRNy+5GTlypEql0uv1f/75592t3RGrtzt0uxGptBtWWVmZXC53cnKKiYm5bD1vlUhFRUV8fLxYNh4WFiaWqz94Sy3HXHHpIc6fx8BABEA/P3tXll68iCkpl2bNmtXyX2OdnZ0nTpyYmJgo3hhGRkZKeKMU+9k6FO7evfvSpUt0Yx8+fFjcfsjZ2dl6H6JO31Lr/7V9+1ChaH7D285hzRaz2Xz69GmNRhMVFWVdQObj4+Pl5VVYWEiwvw/noJvbtqeurk7cYnT8+PEPvXjRK1ksqNE03113/nzs+hxdW1ublZW1evVqnU4n+aHGfj3id+lcv34dALy9va0f7H9E1NTUrFmz/Z//XOriAp99BsQfOHCoHvEbkcRy8kdNYWHhSy+9lJ+f/7e/WVauXH73Sl8v0SNmrEfQkSNH5s6dW1paGhQU9MMPP5B+5q5b9Ijf/vWo2bp16/Tp00tLS1944YVTp071vqoAHPWbKZjQ0NCwePFiAJDJZGq1muj2lj1BjzjHekSUlpbOmTPn6NGjnp6e33zzzbx587p7jwhxWI7j4eFRXl4+dOjQjIwM6y/s6K345N2hrly5olAoBg0a1N07Qo7DYiT4XSEjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRL/Bzpo+hgthRExAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Cc1ccc(NC(=O)Nc2nc(C)cn2C)nc1</td>\n",
" <td>206.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Cc1ccc(=NC(=O)N=c2[nH]c(C)cn2C)[nH]c1</td>\n",
" <td>205.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATHElEQVR4nO3da1RU5RrA8WdmAEEZLoYXBBWN5Ii31ELE1PSgZlmRx/EOVNakqGiKa3RZanabWplolk7nGKWJp5FEQFtnLe/hQVfiMUVN80ZYoXiBGYbbzDDP+fDiOMgd9jOUPb/VB5kZ9jsDf/bes2e/OxkiAmNSk7f2E2APJg6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkfijhJWdnf38889v3LhxzZo1lZWVEi65pARu3JBweX9ou3bBl18CAOTmwsKFrflMWj+s06dPR0VFhYWFpaenL168OCEhYejQoadPn275ks1m+PxzeOQRWLCg2u27dsHf/gZWK1y6BEuXtnwcVovWDOv8+fMxMTGDBg1KS0vz8PCIj4/fvHlz9+7djx8/Pnjw4KVLl5aXlzdvyWYzbNwIPXvCa69Bfj7k5UFFRbUHDBkCn38uwUv4A0pOhoULYfXq1n4e2Bpyc3PVarWLiwsAuLm5qdXq33//XdxVUlKi0WgUCgUABAcHHzhwoElLtlgsycmngoIQAAFw4EDMyLh3b1oaxsVhaipu347TpuGPP6JGg0ePYnm5hC+umtRUDAlBiwUvXkSNhmoUx+GSkhARr17FBQvIh6uHs8PKy8uLj49v06YNALi6ukZHR1+5cqXmw7KyskJDQwFAJpOp1WqDwdDgkisrK/V6fa9evdzdffz9raGh+NVXWFlZde9//oNhYVW1vf02bt+OP/yAL76Ic+agUonBwdjEgBulshJTUzEmBj/9lMMiU1BQoNFo3N3dAUAul6tUqosXL4q7DAbDqlWrLl265Ph4s9ms1WpFgv7+/jt37qxryTabLSUlpU+fPmId3KtXr5SUH+1JHTmCo0ZVJdWhA2q1+M03uH07IuLUqfjSS9i7NwKgXI7z5qHRKM2LrahAnQ6DgzEpqdracdcu/O9/pRniD84ZYd26dUuj0bRt29ae1IULF8RdJpMpMTGxY8eOABATE1Pze3NycsLDw0UxKpXqxo0bNR8zcuRI8YCgoKAvvvjCYrGI248exQkTqpJ66CFcubL2bsxm1GrRzQ0BsEsXTE1t0Ys1m3HTJgwMrBo3Nvbe2nHePGzfHmUyVKslK/g+Tt7y1oM2LKPRqNVqvb29xUZtwoQJJ0+eFHdVVFTodDp/f3/RxLBhw/bv31/rQiorK3U6naenJwD4+vrqdLr7HvDmm28GBgYmJiaW391XOnHixJw5aeJX6+ODq1c3/IvMycEhQ6pqUKmwoKDJL7ayEvV6DA6uWkjfvqjX486d99aOS5ZIWXCtnLzlrQdVWMXFxVqt1sfHR3QTGRmZnZ0t7jKbzTqdLiAgQNw1ZMiQ9PT0Bhd49erVsWPHim956qmncnNz7XeZTKaysjLx77Nnz6pUKplMplC4hYaWaTR4505jn7PVimvWYNu2CIAPP1y4bdv2Rn6jSCokpCqp3r2r7d7d5/Tpe3t7zSu4Vnl5uHo1JidX2/K2IpKwtm7d+tBDD4kIxowZc/ToUXG72L9++OGHxV39+vXT6/U2m63xS9br9X5+fgDQtm1brVZrtVrtd50/f37atGlyuVzcm5CQUFBwqxlP/soVHDsWn3jiZQAYP368Y8E12Wy2b7/9duTIae7uCIDBwbh1a51J2VVWok6Hnp4IgL6+WGMV3AQVFZiejioVurggAM6de2/L+6CFdfHixdjYWACIiIiwb93sb9lEUqGhoU1Nyu7GjRvR0dFiOUOHDj1z5kzNgxe//fZbS16CzYZffJHk6+sLAEql8pNPPqmsLZbdu3cPGjRIPJOoqGP/+hfe3burk16Phw5V/fvyZYyMRABs16542rRZeXl5TXqSZ87g66+jn1/Vyq9NG5w6FT/88N6WV6PBwkKqnbkGSR/Wjh07AODJJ5+036LX68WxA/GWbdu2bbX+npokLS1NbExdXV1FUq6urmq1uqm/nnpcv37dXnBERMTZs2ftd2VmZtrfMXTs2FGr1dq3xfX47Tf09kaZDF97DYuKEKsKxqeeWiIK3rBhQ4M/GaPR+PXXeeHhVT0BYP/+uG4d3r59/yMvXMCQEHzuuYbXoBSkDyspKQkAYmNj7beMGjUKALp166bT6SwN/lE3msFgUKvVPj4+7u7ujgcvpJWRkdG1a1cRrkajOXTo0OjRo0VSfn5+Wq22tLS0kYsSbz/btEEA7NwZU1Kqbq+nYEfZ2dlqtdrT07Nfv9kA6OWFajVmZtY53NWrVeuzN95o2kuWhPRhrV+/HgDmzZtnv+XYsWMbN240m82Sj3XhwgUA6Nmzp+RLdlRUVPTyyy/LZDLx3hYA2rdv//7775tMpmYs7exZjIioWtlMn15x/fp1cXtGRkZgYKC94IqKCnH7jRs3Pvroo969e4vyZDLZiBEjvv66vKSk4bH27UMXF5TJqraPziR9WO+99x4ALF26VPIl13TixAkAGDhwIOkoVqsVABQKxQsvvBAdHR0SEvLoo4/W+oFBI9lsqNOhUolPPrnSx8dHp9OJ3c2ioqL4+Hjx/qNfv35r166dOHGiq6urSMrf31+j0dgPATbSunUIgB4eePx4s59vc0gf1rJlywDgnXfekXzJNR06dAgAhg8fTjpKYWEhAHh7e4svg4KCAKAlYQm5ubZnn31eRDN27Fj7Ar///vuQkBAAEAdr5HJ5ZGSkXq9v9ir/1VcRALt1w9qOLlORPqz58+cDwLp16yRfck27d+8GgKeffpp0lGvXrgFAQECA+FIcSSmQ6ACUXq/v0KEDAHh4eNgPoJSWlvbt2xcApk+fbv94vtnMZhwxAgFw2DC8u4ElJ/1pM8XFxQAgDpRTc85YYhSlUim+NJlMjl+2kEqlOnv27LRp08rKyrRa7c2bNwHAw8MjLCwMAEaNGmX/cKLZXF3hm28gMBAuXry+atVaCZ50I7hIvkRpf+5/hLHEKCJfi8VSUVHh4uIiPk2XRIcOHZKTk2fMmGEymTp37ixu9PLyAgCj0SjJEJ07Q2qqZfLkEe+/f7FbN4/Zs2dLsth6PAhrLOqwHEehG/GZZ56ZMmWK/UvxAatUYQHAY4+5vv32SgCIj48/ePCgVIuti/RhOX+NRR2x4yjOGRHu/gAlDAsAZsyYsWTJEovFolKprly5IuGSa/pzr7EA5g0adLtTJ9oVu3PWWPeRfI0laLXaCRMm3L59e+LEiSUlJdIu3NGfex8rP9/3f/+DWbNoR3GrqOjh4+PrEJYT/myk3ceyk8vlycnJ4eHhp06diomJSUlJEYd8a7JYLEaj0WAwGAwG413FxcUGg6GoqMhoNLq7u69Zs6augaQPy2l/0wBQXAwAQP1bVt25oyoqEsM8VlJi7tq1vGdP2iHvhmUwGCRfslKp3LlzZ3h4+M6dO0ePHt23b9/i4mLRTVFRkcFgEF+WlZXVv5wOHTo4NSyn7YUAgMkEAEDesBjG0xMAXIxGuHbNtbnThxrPx6dTr16TvLz6S7XAc+fO/fzzz1FRUQAQEhKi1WoXLlx45MgRcZC5JoVC4eXl5evrq1Qqve5SKpW+vr7i3+Lsj7pIHJbVai0rK1MoFB4eHtIuuVZijUUeluMwDpGRUioH/vzzDheJfj82m+3VV1/NysrS6XRqtbqysnLz5s3l5eVPPPGESqUSxXh7e/v4+Ih/e3l5tWvXriUjShyWfXVV15ZbWs7ZFFaLyUktg5cXAIBUu1gbNmzIysry9/efPHkyACQmJh4/frxbt27fffcd0U6LxO8KnbkdBKdtCltjjSXCkmQXKy8v74033gCAzz77zMfHJzc3d9WqVQCwYcMGul1hicOqdc9d3EjBqZtCEZPzNoUgl4PJBDZbSxc1b9684uLiKVOmREVFIaJarTaZTDNnznz22WeleKa1IwnLcY2VkZERHBy8ZcsWaQcSnPRbdlwxOmtTKJdDu3aACC38q9y6dWtGRkb79u3XrVsHAElJSXv37vXz86vnDZ0kJA7rl19+AQBxRpGwffv2goKC2NjY55577tdff5V2uIMHITMTvL2lXWoNjjE5abcOQIrdrFu3bi1evBgA1q5d26lTp+vXryckJADA+vXrxVxOQlKdJnHz5k0x0blLly6O8+JtNttXX30lTjXx8vJKTExs+QnvWGNmJu3U8jFj0N8fxRl2U6YggHPOyAwNRQA8c6b5S5g6dSoAjB49WpxIOHHiRAAYP368ZE+xbhKEdfv27WXLlonNn0wmGzBggJubGwAEBgZm3L0iR35+/qRJk0TKw4YNO3fuXAsHvW9mpvOuWVBcjPn52KyTkptKzJjIymrmt+/ZswcA2rZte/nyZURMT08HAKVSKeF8k3q0KKy6ZqWeOXOm1nnx6enp4rRud3f3lStXVjT3rLOcHExJqTYzMzUVx4zBBQvwpZdowjKbMS4O4+Jw+nT8/nuCAWoxdy5GRuKJE835XoPBIOaAJCYmImJRUZGY1PTpp59K/Czr0MywHK+5IFZChw8fdnyAmBcv3h6KefFibVxYWKhWq8VRrv79+//www9NGvennzA6GhUKjIurNjOTfI2l02FyMiKi1Yp//zvBABKbM2cOAISFhYlTUmfNmgUAQ4cOlWQ/pDGaHFbNay7Ucwmrq1evjhs3Tjxy3Lhx9lnFhw8fFpNXXVxc4uPjGzPd5fJljIlBhQIB0N0dZ86sNjOTPKz589E+vWzyZCdMA23J5T2ysrLkcrmbm1tOTg4iHjx4UCaTtWnTpq6JZRSaENZ911wIDw9vzDUXsI558SUlJYsWLbJfYO1M3fuoeXkYH181Hc/VFaOjscXzGJpu40b8978REa1WjIx0woD37UT+85947Bg6XFGgPmLm44oVKxCxtLQ0ODgYAN59913aZ1xdo8Jq+TUXas6LF7efPHly8ODBXbp0KSwsrPldv/9+c/78qqRcXPDFF1sjKcFsxjlzMD4eZ87EgwedMKDjZQcXLEC5HAHQ0xMjI1GrxexsrOfHX1RUtGLFCnHtHXF8oX///hTzOuvRQFgSXnMBEffs2eM4q1i8crPZfP78+fseab+k1sCB++RyVKmwxkMeWLt346RJ+O2393Yi587FuLh7V7MR/wUEYGwsbtmCv/6aX9eiTp486erqqlAojjt5VmE9YdlstvT09AEDBoikevToodPprI1cF9fNYDDY52T26dPHfiEauzt37ixfvtx+8GL27Ddzclo45p+GzYZvvYUyGQLgokXVdiKF/HzU61Gtxq5dq/Lq3NkKAD179lSr1Xq9/o7DRZssFou4ZklCQoLzX0udYZ07d078+nv06JGUlCThNRcQ8ciRI2LOuFwuV6vVRqMR7x68sJ/lExkZ6fy/s1ZkMuE//oEAqFCgVtvw43NyMDER4+IuOH4yq1AohgwZsnz58gMHDrz11lsAEBQU1LxLAbRQfZvC119/fdOmTUTb5rKysmXLlokLxXTv3v2VV16xX1IrMjKy5prswXbtGg4ejOJSH417R3SPxWI5cuTIqlWrhg8fbp+PDwBubm4ymWzfvn00T7kBrXM5brtTp049/vjjACAOiTleUuuvIzMTO3VCAHzkEWzhRxIlJSV79+7VaDSDBw9Wq9VJ4hhMa5AhYoOfJ5KyWq1btmzp0qWLXC63Xwzyr+PLL39Sq3tbLPDMM7Btm5QfqNtsNsezAZys9cP6y7JarYsWLdq0aVNo6N6RI0d+/DEoFK39nKQj/WQK1hgFBQWTJk3KzMz08PBYtuyWwxToBwSH1QpOnToVFRWVm5sbEBCQmpoq9jIfMK3/f//6q9mxY0dERERubm5ERER2dvYDWRVwWM6EiB988MGUKVNKS0tnzpy5f/9++7VlHjy88+48ly5dGjhwYHl5+ccffywuT/cA47CcKi0tTalU2q+7/ADjsBgJ3sdiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJDgsRoLDYiQ4LEaCw2IkOCxGgsNiJP4PmqBDYcvbWMIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Cc1ccc(=NC(=O)Nc2nc(C)cn2C)[nH]c1</td>\n",
" <td>205.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Cc1ccc(N=C(O)N=c2[nH]c(C)cn2C)nc1</td>\n",
" <td>204.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Cc1ccc(N=C(O)Nc2nc(C)cn2C)nc1</td>\n",
" <td>204.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Cc1ccc(NC(O)=Nc2nc(C)cn2C)nc1</td>\n",
" <td>204.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATQ0lEQVR4nO3dfVRUdf7A8c/w/ODM4PMToaCwhBommpStj9jZ2jQzWYvE1dRZtcKntfGYinGsM6t7dDyrW2ORgS3SpAfCn8qiWCS5apxVjCOVhJiGMtoAAwzCwHx+f3xxxAmQh/sZWPi8/pJh+N6L8/Z7L9f5XmSICIxJzamzd4B1TxwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESPTGs1FT45BMAgKIiWL26k3emu+qJYTEHcOnsHegcSUlw8SKYTKBQdPaudFM9dMaKigKtFrZs6ez96L56aFiMmgwRO3sfGpjNZjc3NxeXHnp07ma6xIxVVVW1e/duf3//xYsXT5069cqVK6SbS02F4GCoq4OCAtiwgXRTPVcnh1VdXb1z586AgIDVq1cbDIaUlJSsrKxx48bt3r3barXSbXfiRNi3j2541nlhWSyWffv2BQYGrlu3zmAwhIeHp6WlFRYWRkdHV1ZWrl69evz48RcuXCDYLgDAs89CdjZUVUk5stUK//oXbNv2wIM9d3ZEh6utrU1ISBgxYoTYgTFjxuj1+sZPOHr0qJ+fHwC4urqq1eq7d+9Ksl2DAdVqDA7Gzz/Hgwfx/HlctAjVaty5E/PyOjSy1YqHDuGoUQiArq5YWHj/UykpuHAh7t2LV66gWt3B7+B/iUPDqq+v1+v1gYGBIqmQkBC9Xm+1Wn/7zPLy8piYGCcnJwAIDAz86quvOrJdgwHXrUNPTwRAJyeMi8ODBxERX34Zo6JQJkM3N9y6FWtq2jP4iRMYFoYACIB+fqjTocXS8Knvv8eUFDx4EF95BS9e5LAIWK3WtLS00NBQkZS/v79Op6urq7N72s2bN+fOnVtQUCA+zM7OfvTRRwFAJpOpVCqTydTW7ZpMqNGgUokAKJPh88/jhQsPPKG8HGNi0MkJAXDUKPzPf9oweEZGxrRpL/TubQVAX1/85z/vp3npEkZGokyGO3Y8MDu+9Raq1SjRFNylOSKsEydOjBs3TiQ1bNgwnU5nsf2jftCSJUsAwMvLa8eOHSK76urq2NhYNzc3ABg+fHh6enorN1pRgRoN+vg0zCUREZiT0+yTs7MxOLhhPlOp8KEBZ2VlTZ48WXxHf/zj/+3ahdXVDZ/67jucOxdlMgRAuRzXrLk/O65YgS4uCICjR+PZs638PtomJQV/9zu0WDr/yEsb1okTJyZMmCBeAF9fX61W2/IJk9FoVKlUMpkMAEJDQ3PutXDp0qUnnnhCjBMZGXn79u0WBqmqqtJqtVOmvC2SmjQJs7IevqvV1Rgbi25uCIDDh2NzAZ89e3bmzJliT/r27avRaCorK8WnCgtRpUJnZwRAd3dUqfDmTfsvP336gYIrKh6+Y23SdU7pqMLKzs6eNm2aeAH69++v0Wiqbf+oH+b48ePDhg0DABcXF7VaLb7QYrFotdpevXoBwIABAxISEn77hdXV1VqtduDAgWK7Cxb80pqkGrtwAceNQwAcOTJv8eLX7ty5Y/eEN954AwB69eqlVqtLS0vFg1evmhYtapiN3N3xzTexuLjZTdgV/O9/t20Pm1RZiR9/jE8/jfv2dZVTOpKw3nnnHfHS9uvXb/v27VVVVW0doaqqSq1WOzs7A8CIESMyMzPF4z/99FNERIQY/Lnnnrt27Zp4vLa2VqfTDR06VHxq4sSJaWlp7dt5iwX/9jcMC5sGAAMHDkxOTm782eLi4rfffvvXX38VH16/fj0mJkapHDhoUJ2rK0ZH408/tWor//1vQ8EA+Oc/46+/2p9uttLZs7hsGcrlDUO98soDp3SdSPqwsrOzn3zySQ8PD7VaXVZW1pGhzpw5M2rUKNvJe3l5OSJardaEhIS+ffsCgEKh2LVr12effTZy5EiR1OjRo5v7SbNN7Ar++eef7Z5w8+bNmJgYDw8PAHB2dlarT7QyKRuLBbVa9PbGRx4p9PcPaHIObk5pKep0OHZsQ08AGBaGOh0ePHj/lE6txnPn8PLltu2VVKQPKzk5GQBeeuklSUarra3VaDTu7u4AMHjw4MOHD4vHi4uLX3zxRdGcePlHjRr1+eefdzwpG7uCtVptfX09It65cyc2NlYul4utR0ZGfv/99+3eypUrGB29XnwLs2fPvnHjRgtPrq+vT09PX7PmnDiSAuDAgfjXv2J+fhNP/uor9PDAwEA0Gtu9d+0nfVgffvghACxZskTCMfPy8sLDw20n7yUlJeJxnU7n7Owsl8s//fRT8apL7ubNm/PmzRObDg8PX7FihS2pOXPmXLp0qeObEAX36dPHruDGbty4odFo/P39AeCRRya7uGBEBOr1WFtrG8R+WLMZJ0xAAJw5E5v5KZyQ9GHt2rULAFatWoWIN27c0Ol0tjOkjqivr9fpdHK5XCaTnTx5Ujx4+fJlAAgODu74+C1LS0vz9fUFAHHhIyIi4ttvv5V2E40LnjRpUn5+PiLevXs3OTn5mWeeEdeKASAgIGDbtm2//HL/h+sbN1CjwREjsKjIfsxffsEhQxAA166VdmcfTvqw4uLiAGDTpk2ImJaWBgDPP/+8VINfvXp17969tg/PnTsHAOPHj5dq/BYYjUYvLy8AOH78ON1W9Hr9oEGDAMDT03P69OniQAwAHh4eUVFRmZmZtmP93buYnIwzZzZc3QXAv/+9iQG/+Qbd3REAP/qIbq+bIH1Yb731FgBoNBpETEpKAoCXX35Z8q0ImZmZADBt2jSi8e24uroCQE37/uun1UpLS8XFvMGDB4v/+NJoNI0v3eXm5q5atTogoE705OmJr76Kp041cTQU9u9HAPTwoLoq2yTp31VXWVkJAOKCU0VFBQCIkxIKYnyxLWp37961WCxubm7iaEjHx8dHp9MVFRVlZGS8++67GzduFI+bTKbU1NQDBw6cPHkSAKZMWeThEbpwISxZAv36tTTgokWQkwN798KcOfDtt+DrS7r7DaQPq3FMjSOjIManC7eztgUAw4cPBwDboXD58uUHDhwwm80A0Lt376ioqKVLXceObe1oWi3k50NZ2YkFC7YfP57m6elJstONSP9+rMazSHeasai/FzsKhQIAysvLxYeVlZVmszksLEyn012/fn3Pnj1jx4a0fjQXF/jsM0t5+cqsrJPLly8n2eMHSR9W43/Z3WnGcmTEcC8ssVEA2Lp1a0FBQU5Ojkql8vb2bseA/fq5pqV9oVAoEhMTd+7cKeW+NsURMxbdi1FTIyMdvzEHHwrtZqyRI0fa3hrZbiEhIQkJCU5OTuvXrz927FhHd7FFjpix6F4Mo3EdACoUjlgf2CmHQpPJJO2wc+bM2bx5s9VqXbBgAemiFaqTd8fMWJWVAADe3o54575PTU1MaOggPz8HbAsAlEolEIQFALGxsfn5+Xq9ftasWWfPnvXx8RGP19fXm0ym0tLSiooK0z0VFRWlpaWNPzSZTGVlZeXl5UqlMicnp7mtUF1ucMyMJc5AHDOJTDQaJ+bmQut/EusYu0OhhGQyWXx8fH5+/nfffRccHKxUKkUuVW1cW9K7d+8WPksbFvWMJcJy0Pm0QzcGffoETZmSNmRISy9em6SmpmZkZGg0GoVC0atXL5VKtWbNmtLS0pKSEvEEmUzm4+OjVCoVCoVcLlcoFAqFQqlUikcEuVyuVCp9fHzEhy1sTuKwampqamtrXV1dxVVE6hlLHAoddNrj0I2Bt7dfVpZfUJA0o5WVlb3++uvFxcWPP/74smXLjEbjtm3b6urqNm3a9Oqrr4pipH2ZJA7LriTHzFgODctxlxsAAKQ6xVq/fn1xcXF4eLhYVbB27dqSkpIpU6bExcXZ3nckLYlPe+1+dHLMOVa3PBRKGFZWVlZ8fLy7u3t8fLyTk9OpU6cSExPd3d0/+OADoqqAaMayTVGZmZlGo7Hlg3HHNgfQbQ+F4OICZjNYLODq2v5xqqurly5dioibN28OCQkxm83Lli1DxLi4uODgYOn2157EYdnNWLZVX0Tc3cHTs3vOWAAgl0NpKZhMcO8/DNsjNja2oKBgzJgx4l0nGzduLCwsDA0NXbNmjWQ72hQpD4VWq/Xo0aMAYDQaa2pqJBwZAJocr7AQzGZQKqXdVDMcO2OBFEfD3NxcrVbr5OSk0+lcXV3Pnz+/Z88eFxeX+Ph4145Mg60h1ftvbKtSxZW9wMDAL7/8UpKRxT0X/P2x8WKfTliZuWULRkRgbq5DNoaI+NhjCIAXL7bzyy0Wi3hF1q1bh4g1NTWjR48GgA0bNki5l82QIKxjx46NHz9eZOrn56dWq8XBu93r4m0MBly79v49F44cuf+prrMyk87TTyMAfv11O7/8vffeA4Dhw4dXVFQg4tatWwEgKCjIbDZLuZfN6FBYp0+fnjp1qkiq8apUsbRGXMoaMmRISkpKW0c2Go0bN9b36tVwz4WXXrp/Q5jqatRqMTHRsSsza2tx5UpcuRKjovDrrzElBffvR0S8ehVXrSLa5v79qNHgvaWTbfPDDz94enrKZLKMjAxEzM/P9/DwkMlkkqw/aI12hnXmzJkZM2aIpMRK89+uSrVbF28wGFozckVFhUaj8fHxeeqpJLt7LtTWok6HQ4ciAM6d69iVmTodJiUhItbV4YwZDgirI8d6q9U6ffp0AHjttdcQsb6+ftKkSQCwfPlyil1tUpvDys3NjYyMFLnI5fKWV6WKpTXi6kPv3r11Ol0LI1dWVmo0Gtt7JqOiltveo22x4Ecf4bBhDasGxo3DLVseWJlJ7s038cqVhj//6U+YlIQzZ+KqVbh4MV1Y7T7Wv//++wAwaNAgo9GIiLt37waAwYMH2+4J4ABtCCsvLy8yMlJcUrO7eUHLCgsLbTfSaLwuvrHDhw/b7rkwefLkr++dWdTXo16PQUENSYWEoF7f7KoBQu+/j2KtfV0dRkQ4ZsZqfKyfPx/j4vDMmVatEFy0aBEAiNvZXbt2TVz9accJSUe0Kqz8/Pzo6GhxJwUvL6+YmJhbt261dUt6vV7MRl5eXhqNxm5NZnZ2Njx4zwWr1XroUMpjj9WIpIKCMCkJaRaltkJtLa5YgTExuGABfvkldVhGY0NY4lj/l7/cX0rv7Y0REajRYE5OS//ATp8+Lf4wa9YsAJg/f77kO9myh4RVVFSkUqnELbLd3NxUKlVxCzdSeZhbt25FR0eLaempp566/OB9Bc6cOWP7s+3ixe9//4HdbfK6N4sF1WocNgwTEu4f69euxdRUfOMNfPTR+4UB4ODBuHAhfvLJgd/eWkJITEwEgD59+rRjIuigZsMqKSlZunSpuIzm5ua2YsWKlm8r0HpHjhwRq4rFLUbtlumlp6fbTvl9fX3j4w/aVpF3e7dv49SpDWsAm1sVe+sW6vWoUqGfn5jIq8XfVUBAgEql0uv1tjvh3L59u3///gDQptuNSKXZsO7cuSOXy52cnCIjI6/YzlslUlZWZrvF6JgxY86dO4dN3VLLMVdcuohLl9DfHwFwyJDWriy9fBnj43+cPXt24/+NdXZ2njBhwoYNG8QPhtOnT5fwRimt19Kh8NChQz/++CPdtk+dOiVuP+Ts7Gy7D1G7b6n1P+3IEVQoGn7gbeaw1pK6urqcnByNRhMRESHurCSOgN7e3oWN7+HsQJ1wO+7GzGazuMVoWFjYQy9edEtWK2o0DfdfiIrCjs/RVVVV6enp69ev1+l0kh9qWq9L/C6doqIiAPDx8bG9sb+HqKys3Ljx03/8Y7mLC2zfDsRvOHCoLvEbkcRy8p6msLDwhRdeyMvL+8MfrGvXrrx3pa+b6BIzVg90+vTpefPmGQyGoKCgL774gvQ9d52iS/z2r55m3759M2bMMBgMzz777Pnz57tfVQCd8bt0erKampqlS5cCgEwmU6vVRLe37Aq6xDlWD2EwGObOnfvNN994eXl9/PHH8+fP7+w9IsRhOY6Hh0dpaenQoUNTUlJsv7Cju+KTd4cqKChQKBQDBgzo7B0hx2ExEvxTISPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEhwWI8FhMRIcFiPBYTESHBYjwWExEv8Pw8O3StwIu/8AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Cc1ccc(=NC(O)=Nc2nc(C)cn2C)[nH]c1</td>\n",
" <td>203.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" TautSmiles TautScore \\\n",
"5 Cc1ccc(NC(=O)N=c2[nH]c(C)cn2C)nc1 206.0 \n",
"6 Cc1ccc(NC(=O)Nc2nc(C)cn2C)nc1 206.0 \n",
"0 Cc1ccc(=NC(=O)N=c2[nH]c(C)cn2C)[nH]c1 205.0 \n",
"1 Cc1ccc(=NC(=O)Nc2nc(C)cn2C)[nH]c1 205.0 \n",
"3 Cc1ccc(N=C(O)N=c2[nH]c(C)cn2C)nc1 204.0 \n",
"4 Cc1ccc(N=C(O)Nc2nc(C)cn2C)nc1 204.0 \n",
"7 Cc1ccc(NC(O)=Nc2nc(C)cn2C)nc1 204.0 \n",
"2 Cc1ccc(=NC(O)=Nc2nc(C)cn2C)[nH]c1 203.0 \n",
"\n",
" ROMol \n",
"5 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"6 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"0 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"1 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"3 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"4 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"7 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"2 <img data-content=\"rdkit/molecule\" src=\"data:i... "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_tautomer_dataframe(mol)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Due to the RDKit aromaticity model the top two tautomers have the same number of aromatic rings, so they have the same score.<br>\n",
"In such cases, the tie is broken by using as a second sorting criterion the SMILES (lexical order, ascending).<br>\n",
"For this reason, in both your examples the tautomer featuring exocyclic double bonds is chosen as the canonical one.<br>\n",
"I will look into this - I believe exocyclic double bonds should be penalised compared to endocyclic ones."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"smi = \"CCCCC(=O)N=c1nc(C)c2ncn(C)c2[nH]1\""
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"mol = Chem.MolFromSmiles(smi)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<rdkit.Chem.rdchem.Mol at 0x7ff2f5951940>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mol"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"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>TautSmiles</th>\n",
" <th>TautScore</th>\n",
" <th>ROMol</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>CCCCC(=O)N=c1nc(C)c2ncn(C)c2[nH]1</td>\n",
" <td>206.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATfUlEQVR4nO3daVRT19oH8CdhEsQCSqEODOJIVZy5VaDFubbUCeOytdG1sDdKL0a7vH291dpIHer1urqCtlVwQBRtF9qqOLQWh1ZtvbZX0EoRLSq24sBgwCBjkuf9sGMAhRBOzg6Dz2/5QZKT82ySf/beOTlnI0FEIERs0uZuAGmbKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbigYBEuKFiECwoW4YKCRbgQGKxbt26Vl5eL2xTSlggJ1pQpU/z9/U+fPi16a0ibISRYvXv3BoCzZ8+K3RjSdggJVlhYGACcOXNG7MaQtkOCiE19jEaj8fT0dHJyKi4udnR05NEs0toJ6bE8PDwCAwPLy8svXLggeoNI2yDwUyGNhsQ8gcEKDQ0Fmr+ThgmZYwHA7du3fXx8PDw8CgsLpVI6ykqeJDAT3bp18/f379ix85Ur98VtEGkbhHc2o0ZlXb/+++nTnUVsDWkzhAcrONgZAGiWReolPFihoQAA9L0OqZfwYPXrB506we3b8OefIrbHIocPw+bNAAAVFTB9uq2rE0sID5ZEAiNHAgDQwSzyNKuOFLDRsFmmWXv2wPz5sGBBM5QmlrC35sFhYQDN1GO99RbMnw8VFfD2281QnTTKqh5r2DBwcYGsLCgqEqs9pI0QeOTdZNw4KCmBHTvgxRfFahJpC6z9NubYMfjlF1un6vBh8POD8nIoLaWhsIWyNlhHjzbPazxqFKjVtitHmkqE749t9hqXl8Pnn8POnQAAoaGQnQ0FBQAAlZW2qE6aRIRgmV7ju3chMBDi4qC01Pq91qHVQlwc9OwJMTGwdClUVwMALF0Kn3wCGg34+kJyssgVa6ORVwBxznhhr/HNm5CdDYsWQbdusGgRXL0qwp4LCmDFCvDzg0WL4M4dGDQI1qwBOzsAgD59wMkJbtyA/HyQy2HWLCguFqFivWjkbTIUatky3LcPDx3CLVsQEWNi8M03MSUFx45FAOO/kBBMScHqaiH7z81FpRJdXGp2lZqKBkM9WyYloasrAuALL+CRI4J/oSdVVWFiIiYnG3/H2bPxxg2cNQurqkQr0YYJDNamTQiA7drh7dv13HvxIioU2L69MRO+vvjZZ5fu379v4c6zsrLmzo329DQAoESCkyfjf//byENu3sSXX0a2vUKBpaVN/H3qqqjA+Hj09UUA7NoV9+/HLVswOxv//neMiMDOnXH3bqv2/ywQEqzvvkN7e5RIcMcOc5uVlGB8PPbrhwAYGDjM0dFRJpOlpaWZeUhGRoZcLrezswOA0aNPy+WYmWlpq/R6VKvR0REBsG9f/PVXi3+fWh48wJUr8fnnjW+JAQMwORkPHKjplfv2Nd41ezYWFwspYZ7BYDhy5Mi4ceM2bty4bds28QvYSpODlZmJbm4IgB99ZNH2BgMeP146efJkFhcAGDx48NatWx89elR7szNnzkRERLANnJyc5HL5tWvXmto2RExPN0Y5PPxibGxstcXD8P37qFKhu7sxN0OGYEpKPSOvwYDx8cbO2NcXT54U0Mb66XS6L7/8cuDAgexJYNfVTZ482fKevkVpWrDu3DEOEDNm1D/dMSMvL0+lUnl5ebEnzs3NTaFQZGZmpqamvvTSS+zGDh06KJXKvLy8pu26rvJyXLas1MWlEwAEBwdnZ2eb3z4nJ+fdd2O8vDQsUhMm4A8/NFLi+nUMCakZeeu+R5qssrIyKSmpT58+7Enw9vZWqVQ7duzo2LEjADz//PP79++3qkBzaEKwysowOBgBMDQUKyoE1quoqNi1a5cpSaZuzNvbe82aNcXijS5nz57t0aMHADg7O69du1av1z+9zeXLl+Vyub29PQCMGrVKJsMLF2ruzczE9esb3H91Na5daxx5X3wR//c/IY3UarVqtbpbt27sSQgICFCr1eXl5ezeW7dujR49mt0lk8k0Go2QGo05efLkG2+8kZCQsHPnThF3a2mwdDrdjBnVANirFxYWilD4woULU6dOdXR0dHd3/+yzz8rKykTYaV0lJSUKhYK9MGPHjv3rr79qV5fJZBKJBAAcHBzkcnlWVpbp3vR0lMvRzg4B6kTtab/8Ypx1hYdfWb16tU6ns7BthYWFKpWqU6dOrHlBQUFJSUlPD9wGgyE+Pt7FxQUA/Pz8Tp06ZeH+G2UwGA4cOGB6h7dr1w4AIiMjCwoKRNm/pcFauHBhz55T+vWrvHpVlLqIiN9//z0AjBkzRrQ91ufrr7/29PRkg298fHztyVz79u2VSuWff/5Zq0k4erRxmuXiggsWYKPDclkZvv9+mavrCwAwYsSIP/74w/z29+7dU6lUbm5urA0hISGpqakGsxOLrKysoUOHAoBEIlEqlRWCxwtERNTr9ampqUOGDGEN8PT0VKlUiYmJHh4eAODl5XXw4EFr9s9YFKyNGzeyOfXp02esL2mye/duAJg5c6aI+6zX3bt3X3/99dpH7zw8PJYvX256d+r1+n379k2YMNnBoQoA3d1x2TJs0qQ5LS2NjWjOzs5qtbreoFy/fl2pVLK+gUXq+PHjFu6/urp67dq1Dg4OANCvX7/09PQmNO4xNpnr1asXa4Cvr69arTZ9isrNzQ0PD2d3yeVyrVYroIRJ48E6evSovb29RCIRdwxGRLVaDQALFixAxOLi4sTExJMifsp6SmxsrIuLy3PPPbdu3bqHDx+yG6uqqrZv3963b1/2hL722s5//xtLSoTsv7i42DTyjh8//natQ3yXLl0yTeakUmlERMSvgg6HnD9/nq0h5eDgoFKpLB95Hz58qFaru3TpwprXo0cPtVr9dM9nMBjUarWTkxMA+Pv7//jjjwIayTQSrMuXL7NOOzY2VnCNhixbtgwAPv74Y0Q8f/48AAwfPlz0KianTp0CgFdeeYX9WFFRERcX5+vry57r7t27f/HFF6aJs2ApKSls5uTu7p6cnMxGXjaZc3R0lMvljX5KNa+srEypVLIdWjLy5ufnq1QqNswBwKBBg5KSkswnMjMzkw2UUqlUqVRWVlYKaKe5YOXl5fn4+LDRyvwkQBj2/t60aRMiHj58GAAmTpwoehWTlJQUAJg+fTr7saqqiqWqf//+9U6cBcvNzR07dmztkbdDhw7vv//+nTt3xCpx7Nixrl27AoCLi4tarW6oGUqlkk38TZM5C/dfVVWlUqnYZ/b+/ftnZGQ0tYUNBkur1Q4aNAgAwsLCrJwtNmTatGkAsG/fPkRMTEwEgNmzZ/MoxHz++ecAEB0dbbpl7969Bw8eFP09k5qaCgADBw6MiooKDAzs1avXm2++KW4JRNRoNG8/Ptfi1VdfrX3wLycnR6FQsAmZRCKJiIg4d+6cgBLnzp1jE7J27do1dMimIQ0Ga/PmzQDQu3fvoqIidkteXl6plV/C1cXWQmID+bp16wBg8eLFIu7/CStWrACAjyz8xsAKW7duBYCoqChEvHfvHvvkxalWSkqK6TjqN998U/s7MalUKpPJfv/9d2v2/+jRI9PIO3LkyJycHAsf2OBpM5WVlVKpdPz48azdX331Vd++fVetWtXQ9gIUFBSwZ+SJ/3NigxJPFyosLORaVCaTXbx4ccyYMQUFBdOmTRs8ePCuXbscHR1jYmJu3LiRkpLyonWnjbu4uMTFxX377bddunT5+eefhwwZkpCQYMkDGwzW0KFDETEhIeHq1asA0LNnz0ePHn366adXrlyxpqG1te1gsYNnNijq4+OTlpamVqtnzpwZEBCgVCpzcnI2btzo5+cnVokJEyZcvHhx6tSpDx8+nDdvXmRkJHvDmGOmN4uKigKAcePGsR/nzZsHAC+//LIokxKdTieVSu3s7NgnFHbQ0vLZpQCjRo0CgBMnTvArwcjlcgDYsWMHIu7duxcAIiMjeRdlmjQNEiAlJcV0HPXAgQNmtjR3Bum6des8PT3T0tLYs/PJJ594eXmdPn16z5491r8JioqKDAZDx44d2YSg7fVYNuuJa+O9CJ5MJsvIyAgPD8/Pz58yZYqZtf7NtaNTp06rV68GgIULF5aUlHh4eKxduxYAFi9eXGz1WcBPPOM2eAE6dfph5Mhbnp7d+ZVgmjFYNuDn53fixIn169dHRkayj1/1M9/16fX6ESNGwOPPawaDYfz4ia+8onrvPWsPQDxxuLJDhw4AUCLsmLcFDAbjyYk2OLGYTW5u3ryJiDExMQCwYcMG7lVbmEZ6TqlUunnzZnt7+7i4uEuXLkkkkvXrj/7004oNG5zS060Kfu23cmVlpVardXR0ZPHiQaMBnQ7c3cHBgVOFGm27x7JQ40NyUFBQdHR0586+69drEWHAAFAqQa+H+fPBYBBeuN5nnx0v4YFdgWiL17esrMTdXTtoUPv27QHg/9zcvgsPH+Ttzb9wy2LRXG/lyjV2dpnJyaFJSQAAK1ZA167w66+wdavwwjY/1gAA4OnJr0JNJfs7d1wfPGA/DTl3bsIPP/Tt2JF/4ZbFomC5ubmuXOkMAP/8JxQWQocO8OmnAAAffGB8wQRolmDZosd6opLtCrcsln46ffttGD0aiopg+XIAgBkzYPx4sLOD7GyBhWuHqXPnzvPmzZs4caLAfVlUDsD2wUI0rvBki66yZWnCwmubNkFQECQkwJw58NJLsG0buLiA4D6+drAGDBjAvprkp3mCVVwM1dXg5gbP3p+yasLxtN694b33wGCAf/wD9Hro1k1gqgwGw2+//Xbt2jUAMJ30zRv7BsLWwXpWx0Fo6toNy5eDvz+kp0NT+xedTnfhwoW4uLgZM2Z4eXkNHDgwLy/P3d39nXfeYQnj7bXXQKWCkBD+lWqHyXZxbnmaeuBr/35kZ4U3ejVHcTF+/33+0qVLw8LCTCd6M927d4+IiPD29gYAV1fXzZs3i3VS1LFj+Prr+OBBnRsPHUJfXywrQ60WZ80SpU7DoqIQALduRUQ8cAABcNIkziVbIiGX2M+d2+DiBXfvYmoqLlmCISHo4IAvvKAzhSkgIEChUCQlJd24cYNtbOYk8abS63HvXhwyxHiBzZo1de49dAjnzME1a2wSrDfeQABkF7ps2YIAOHcu55ItkcBFQWr3AVOn4pYtOGcO9uhRs84MADo5YUgIfvTRfw4fPmzmYssnThJvaksqK6u3bcM+fYxFO3fGdevw8aUSWFWFWu2Ty8Xw9fPPmJRkvGrsyBGcNAk3beJcsiUSHixTHxAaWhMmV1ccOxZVKkxLQ8svQb13757pWj+ZTGY6Z9W80tJStVrt4+PTv/8vAOjvj2p1TdGKCkxKwp498V//MgaLLRfDPVgEEa0JlqkPmDYNZ8zADRswIwMtvh7pSeySX1dXVwDw9fU1f9ZUUVFRbGys5+ODQ5GRi/bsqSmt0eCqVejlZcz6iBGYmlqzXAz3YOl0qFTiggU4ezaaPWOpbbMqWKL3AdevX2d/u1UikSgUikf1rbaxdOlS03fVI0eOPHTokGnin59fZ8WYwYMxKUl41gXavt04c0fEiRNrRuVnjFXnhbHFGkUUEBBw6tQpdslvQkLCsGHDnv575vn5+Vqtll3M9NNPP7Gr9nJzNe++C76+EBsLxcUwbhycOAHp6TB7NjxedsRWLl+Gv/3N+P/AQMjNtW35FqO5k12/S5cuBQUFAYC9vf2SJUuqap1FlZubW/sCc7ZijLOzc9euuVIpRkQ0vvwfX9u24fbtxv8/wz1WCw0WIpaXly9ZsoSdaxscHHz1qdVIzp07N2nSJNOKMR98sPvKlWZpaV3V1RgTY5xjff11c7em2bTcYDHHjx9nV2PXXmzjieX/FArFrVu3mrulpI6WHixE1Gg0b731FotRcHCwaTFFDw+PDz/8MD8/v7kbSOph7R9pspl9+/YpFAqJRPLgwQMvL6/o6OhFixa5u7s3d7tI/az6e4W2NH369MLCwujo6OHDh585c8ZJ3I+jRGx8L0MTl06nA4Dhw4dTqlq+1hQs3usgEBG1pmA9s5dStUYULMIFBYtwQcEiXFCwCBet5gCpwWBwcnLS6/VVVVVsXWvSkrWaHkuj0eh0Og8PD0pVq9BqglV7/UXS8rWyYNEEq7WgYBEuKFiECwoW4aLVBIu+gW5dWk2wqMdqXShYhAsKFuGCgkW4aDXB0mg0YMMVAImVWs33bqWlpUVFRc7Ozs3dEGKRVnN2A2ldWs1QSFoXChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES4oWIQLChbhgoJFuKBgES7+H3BUD5Aub0I9AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>CCCCC(=O)N=c1nc2c(ncn2C)c(C)[nH]1</td>\n",
" <td>206.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>CCCCC(=O)Nc1nc(C)c2ncn(C)c2n1</td>\n",
" <td>206.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATeElEQVR4nO3daVRT19oH8H/CJIgFFMUxzhaqdaqyRLB11raodcBla2O7sDeVezXaen291bbROpRVXXcFtYqzVLy6KFWLQ+tUW4dS64haRetEqyKDBkVBpjzvh40RlfEkGwg+v+UHQ5L9bMI/Z+9zss+JiojAmK2pq7oDrGbiYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk4KDxaTgYDEpOFhMCg4Wk0JhsJKSkrKzs23bFVaTKAnWW2+91aJFiwMHDti8N6zGUBKsdu3aATh06JCtO8NqDiXB6tWrF4CDBw/aujOs5lARUUWfYzKZvL29XVxcMjIynJ2dZXSL2TslWywvLy8/P7/s7Ozjx4/bvEOsZlC4V8ijISudwmAFBQWB5++sZErmWACuX7/erFkzLy+v9PR0tZqPsrKnKcxE06ZNW7RoUbduo/PnU2zbIVYzKN/Y9Olz7vLlPw4caGTD3rAaQ3mw/P1dAfAsixVLebCCggCAP9dhxVI4eQdAhPr1cfs2kpKg0di2V8zuKd9iqVTo2RMA+GAWe5ZVRwrEaMjTLPYsq4LVqxfwHGyxtm9HZCQAPHyIUaOqujd2wqpgdesGNzecO4fbt23VH1ZDOFrzZCcn9OyJu3eRkoJ69WzVperof//DqVMoKKjqftgPaz+N2bULv/+Ol16ySWfKa/t2NG+O7Gzcv493362Miu+8g8hILF5cGbVqBmuDtXNnZf+NhT59YDRWXjlWUVYNhYL4G0+aZH1LZcjOxpo1qFMHdesiKAgHDyItDQBycuDiIrFucHDhf2rVQmysxEI1iQ0WJgQFITERaWlIToafHyIicP++9a0+ITMTERFo0wYTJ2LGDOTlAcCMGfjyS5hM0GgQHW3jikVV/shbA9hmxYv4G1+9isRETJmCpk0xZQouXLBBy2lpmDULzZtjyhTcvInOnTF/PhwcAODFF+HigitXkJoKrRZjxyIjwwYVi8Ujb4WRUjNnUmwsbdtGK1cSEU2cSG+/TTEx1L8/AYX/AgMpJoby8pS0f+0a6fXk5va4qbg4MpuLeWRUFLm7E0ANG9KOHYp/oafl5tLatRQdXfg7jhtHV67Q2LGUm2uzEjWYwmAtW0YA1apF168Xc++pU6TTUe3ahZnQaGjJkoSUlJRyNn7u3Lnx48O8vc0AqVQ0bBj99lsZT7l6lV59lcTjdTq6f7+Cv8+THj6k5ctJoyGAmjShLVto5UpKTKR//IOCg6lRI9qwwar2nwdKgvXjj+ToSCoVrVtX2sPu3qXly6l9ewLIz6+bs7NzSEjInj17SnnKyZMntVqtg4MDgL59D2i1dPbs43uPH6f580t8bkEBGY3k7EwA+frS0aMV/bWIiO7coTlzqH79wrfEyy9TdDRt3fp4q+zrW3jXuHGUkaGkROnMZvOOHTsGDBiwePHi1atX275AZalwsM6eJQ8PAujzz8v1eLOZ9u69P2zYMBEXAF26dFm1atWDBw+KPuzgwYPBj/a+XFxctFrtxYsXi9xLwcGkUhFAx4+XVu7EicIo9+59avbs2XnlHoZTUshgIE/Pwtx07UoxMcWMvGYzLV9euDHWaOinn8rZfNny8/M3btzYqVMn8SKI8+qGDRtW/i19tVKxYN28WThAjB5d/HSnFDdu3DAYDA0aNBAvnIeHh06nO3v2bFxcXI8ePcQP69Spo9frb9y4IZ5iNtP331NAQOEfu04dmjaNynyds7Np5sz7bm71APj7+ycmJpb++EuXLv3znxMbNDCJKoMG0c8/l1Hi8mUKDHw88j75HqmwnJycqKioF198UbwIPj4+BoNh3bp1devWBVC/fv0tW7ZYVaAqVCBYWVnk708ABQXRw4cK6z18+HD9+vWWJFk2Yz4+PvPnz894NLrk5eWtX7++T59xTk4EUP36NGcO3blTgUKHDh1q3bo1AFdX1/Dw8IKCgmcfc+bMGa1W6+joCKBPn7khIWVsDovKy6Pw8MKR96WX6NixCvTNIjMz02g0Nm3aVLwIrVq1MhqN2dnZ4t6kpKS+ffuKu0JCQkwmk5IaZfnpp5+GDBmyYsWKb775xobNljdY+fn5o0fnAdS2LaWn26Dw8ePHhw8f7uzs7OnpuWTJkqysLPHz7OzspUuXtmzZUrygQ4acjYhQuEm4e/euTqcT7fTv3//vv/8uWj0kJESlUgFwcnLSarXnzp1TUOL33wtnXb17n583b15+fn45n5ienm4wGOo9+oS1Y8eOUVFRzw7cZrN5+fLlbm5uAJo3b75//34FnSyW2WzeunWr5R1eq1YtACNHjkxLS7NJ++UN1uTJk9u0eat9+5wLF2xSl4ho9+7dAPr16yduZmdnh4eHN2zYUPyqvr6+a9euzbV65/67777z9vYWg+/y5cuLTuZq166t1+v/+usva9rPyqJp07Lc3RsCCAgI+PPPP0t//K1btwwGg4eHh+hDYGBgXFycudSJxblz51555RUAKpVKr9c/VDxeEBFRQUFBXFxc165dRQe8vb0NBsPatWu9vLwANGjQ4Pvvv7emfaFcwVq8eLGYUx84cND6khYbNmwAMGbMGHEzNzdXo9EA6NSpU1RUVPnf/WVKTk5+8803ix698/Ly+uyzz2z17iSiPXv2iBHN1dXVaDQWG5TLly/r9XqxbRCR2rt3bznbz8vLCw8Pd3JyAtC+ffsTJ04o6KSYzLVt21Z0QKPRGI1Gy17UtWvXevfuLe7SarWZmZkKSliUHaydO3c6OjqqVCrbjsFEZDQaAUyaNMnyk82bN+/atcu2VSxmz57t5ub2wgsvfPXVV/fu3bN5+xkZGZaRd+DAgdeLHOJLSEiwTObUanVwcPBRRYdDjhw5Iq4h5eTkZDAYyv/eu3fvntFobNy4sehe69atjUbjs1s+s9lsNBpdXFwAtGjR4pdfflHQSaGMYJ05c0ZstGfPnq24RklmzpwJ4IsvvrB5y8Xav38/gNdee01qlZiYGDFz8vT0jI6OFiOvmMw5Oztrtdoy91JLl5WVpdfrRYPlGXlTU1MNBoMY5gB07ty5zNHg7NmzYqBUq9V6vT4nJ0dBP0sL1o0bN5o1ayZGq9InAcqI9/eyZcts3rLFxo0bFyxYIF79mJgYAKNGjZJXTrh27Vr//v2Ljrx16tSZNm3azZs3bVVi165dTZo0AeDm5mY0Gkvqhl6vFxN/y2SunO3n5uYaDAaxz96hQ4eTJ09WtIclBiszM7Nz584AevXqZeVssSQjRowAEBsbK6NxYdCgQQB27txJRF9//TWAsLAweeWEuLg4MVMMDQ318/Nr27bt22+/bfMqJpPp3UdrLQYPHmw5+EdEly5d0ul0YkKmUqmCg4Pj4+MVlIiPjxcTslq1apV0yKYkJQYrMjISQLt27W7fvi1+cuPGjftWfgj3JHEtJGsG8jKJTbqY0MyaNQvA5+X8xMAKq1atAhAaGkpEt27dEntekmrFxMRYjqNu3ry56GdiarU6JCTkjz/+sKb9Bw8eWEbenj17Xrp0qZxPLHHZTE5OjlqtHjhwoOj3pk2bfH19586dW9LjFUhLSxOviA3bLKVEJZR7tmh6errUoiEhIadOnerXr19aWtqIESO6dOmyfv16Z2fniRMnXrlyJSYm5iXrlo27ublFRET88MMPjRs3/vXXX7t27bpixYpyPbOkxB06dEilUjk7O4vJ5tGjR9VqtbOzs7IDicUSk1wb7vM/y9XVFYDYox49ejSATZs2ySsnfPzxxwAWLFhAj/YYXn31VakVxd7cmDFjWrVqVfQzMRtKTU0dPny4yMyIESPK/KuVNnkPDQ0FMGDAAHHzww8/FK+RTSby+fn5arXawcHBhsernpKZmSnec+Jmnz59AOzbt09SOQutVgtg3bp1RPTtt98CGDlypOyiQoWmQQrExMRYjqNu3bq1lEeWFqz09HRxzDomJoaI7ty5Iz5Cjo6Otr6LKSkpAOrXr299UyVJSrrp6dlSo9GImx06dABw+vRpeRWFwYMHA9ixYwcRLV26FMCECRNkF600RY+jljI/Lm1pcr169ebNmwdg8uTJd+/e9fLyCg8PBzB16tQMq1cBV8KMJyWlUUbGFR+fJHGzXr2fe/ZM8vZuKa+iUCUTu0rTvHnzffv2LVy4cOTIkWL3q1hlrHn/4IMPAgICkpOT58yZA+D9998fOPB1X98JX3zhamX/KuEVT00FAG9vACDC4cP14uM13t7u8ioKRSfsNS9YANRq9dSpU2NjY8XeYvGPKbOJyMhIR0fHiIiIhIQElUq1cOHOw4dnLVrkcuKEVZ2rlF1CABAVTCbk58PTE05O8gpa6tbkLVY5lX2WTseOHcPCwho10ixcmEmEl1+GXo+CAkyYALNZeeFKDlbR/8uVlXXX0zOzc+fatWsD+D8Pjx979+7s4yO/cPVSrtO/5syZ7+BwNjo6KCoKAGbNQpMmOHoUq1YpL1wlwRLDolxpaY43b7rfuSNudY2PH/Tzz75168ovXL2UK1geHu5z5rgC+Pe/kZ6OOnXw3/8CwCefFP7BFKixW6ynKlVe4eqlvCesvvsu+vbF7dv47DMAGD0aAwfCwQGJiQoLPxssUnrRypLodFi2DIGBohxQ+cEiKrzCU2VsKquXCpwJvWwZXFywYgV++w0AVq9GYiJK3t8sw7PBCg0NnTx5ck5OjsIWnxEQgAkTIM5RqJpgZWQgLw8eHnj+vsqqAsFq1w4ffQSzGf/6FwoK0LQplM0czGbz6dOnL168CMCy6DsxMTE6OnrRokXdu3dPSEhQ0m6p0tOByg/W8zoOAhU8xf7BA2rRggBasqRih2vz8vKOHTtmNBpDQkIsYfL09OzWrduFR6vojxw5Ik6BqujyyPLYvZsMBjpyxIZNlmD6dALoyy+JiA4fJoACAuRXrXYqfMLqli0EkKcnlfnZcUYG7d6dOmPGjF69elkWegstW7YMDg728fEB4O7uHhkZKT5/LLo8skePHkXPWbXGtm2k0VBWFmVm0tixNmmyZKGhBNCqVUREW7cSQEOHSi5ZHSk5xX78+BIvXpCcTHFxNH06BQaSkxM1bJhvCVOrVq10Ol1UVNSVK1fEg0taJL579+6iyyOt/8x72zZ67z2aP79SgjVkCAEkTnRZuZIAGj9ecsnqSOFFQYpuA4YPp5Ur6b33qHXrx9eZAcjFhQID6fPPF2zfvr2Uky2fWiQufljK8sgKyc2lzMynLxcj16+/UlQUiQ7v2EFDh5LMtdfVlvJgWbYBQUGPw+TuTv37k8FAe/bQo1NQy3br1i3LuX4hISGWNatPLY+sUA8fPqSoKGrThv7zn8JgicvFSA8WIyJrgmXZBowYQaNH06JFdPIkKZ5wi1N+3d3dAWg0GsuqqeTk5DfeeMOSuTvlOM3eZKK5c6lBg8KsBwRQXNzjy8VID1Z+Pun1NGkSjRtHpa5YqtmsCpbNtwGXL18W392qUql0Op1Y+Wk2myMiIsRa0Pbt25eyt5ia+sQVY7p0oago5VlXaM2awpk7Eb3+Okk4gdEuWBUskrANEKf8iov4+Pn5HXt0tY3z589369ZtxYoVxT7r6tU7YWFUq1ZhpAYMIPkLRUvw0Ud05kzh/z/+mOSvK6yelF8qUqqEhISOHTsCcHR0nD59uriCQ15e3rN7iOKKMa6urk2aXFOrKTi47Mv/ybV6Na1ZU/h/3mJVQ9nZ2dOnTxdfOO3v73/hmauRxMfHDx061HLFmE8+2XD+fJX09El5eTRxYuEc67vvqro3Vab6BkvYu3evOBu76MU2nrr8n06nS0pKquqesidU92ARkclkeuedd0SM/P39LRdT9PLy+vTTT1NTU6u6g6wYyr9htZLFxsbqdDqVSiVOFgoLC5syZYqnp2dV94sVzwZfeVI5Ro0alZ6eHhYW1r1794MHD7pI/ZITZjXbfDNF5cjPzwfQvXt3TlX1Z0/Bkn0dBGZD9hSs5/ZUKnvEwWJScLCYFBwsJgUHi0lhNwdIzWazi4tLQUFBbm6uuK41q87sZotlMpny8/O9vLw4VXbBboIlxkHv5++UYjtlZ8HiCZa94GAxKThYTAoOFpPCboLFn0DbF7sJFm+x7AsHi0nBwWJScLCYFHYTLJPJhCJXAGTVnN187nb//v3bt2+LKziw6s9uVjcw+2I3QyGzLxwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJScLCYFBwsJgUHi0nBwWJS/D8QqhZ+Ck+/KgAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>CCCCC(O)=Nc1nc(C)c2ncn(C)c2n1</td>\n",
" <td>204.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>CCCC=C(O)N=c1nc(C)c2ncn(C)c2[nH]1</td>\n",
" <td>203.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>CCCC=C(O)N=c1nc2c(ncn2C)c(C)[nH]1</td>\n",
" <td>203.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>CCCC=C(O)Nc1nc(C)c2ncn(C)c2n1</td>\n",
" <td>203.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>C=C1N=C(NC(=O)CCCC)Nc2c1ncn2C</td>\n",
" <td>108.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>C=C1NC(NC(=O)CCCC)=Nc2c1ncn2C</td>\n",
" <td>108.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>C=C1N=C(N=C(O)CCCC)Nc2c1ncn2C</td>\n",
" <td>106.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>C=C1NC(=NC(=O)CCCC)Nc2c1ncn2C</td>\n",
" <td>106.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>C=C1NC(N=C(O)CCCC)=Nc2c1ncn2C</td>\n",
" <td>106.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>C=C1N=C(NC(O)=CCCC)Nc2c1ncn2C</td>\n",
" <td>105.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>C=C1NC(NC(O)=CCCC)=Nc2c1ncn2C</td>\n",
" <td>105.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>C=C1NC(=NC(O)=CCCC)Nc2c1ncn2C</td>\n",
" <td>103.0</td>\n",
" <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" TautSmiles TautScore \\\n",
"11 CCCCC(=O)N=c1nc(C)c2ncn(C)c2[nH]1 206.0 \n",
"12 CCCCC(=O)N=c1nc2c(ncn2C)c(C)[nH]1 206.0 \n",
"13 CCCCC(=O)Nc1nc(C)c2ncn(C)c2n1 206.0 \n",
"14 CCCCC(O)=Nc1nc(C)c2ncn(C)c2n1 204.0 \n",
"8 CCCC=C(O)N=c1nc(C)c2ncn(C)c2[nH]1 203.0 \n",
"9 CCCC=C(O)N=c1nc2c(ncn2C)c(C)[nH]1 203.0 \n",
"10 CCCC=C(O)Nc1nc(C)c2ncn(C)c2n1 203.0 \n",
"1 C=C1N=C(NC(=O)CCCC)Nc2c1ncn2C 108.0 \n",
"6 C=C1NC(NC(=O)CCCC)=Nc2c1ncn2C 108.0 \n",
"0 C=C1N=C(N=C(O)CCCC)Nc2c1ncn2C 106.0 \n",
"3 C=C1NC(=NC(=O)CCCC)Nc2c1ncn2C 106.0 \n",
"5 C=C1NC(N=C(O)CCCC)=Nc2c1ncn2C 106.0 \n",
"2 C=C1N=C(NC(O)=CCCC)Nc2c1ncn2C 105.0 \n",
"7 C=C1NC(NC(O)=CCCC)=Nc2c1ncn2C 105.0 \n",
"4 C=C1NC(=NC(O)=CCCC)Nc2c1ncn2C 103.0 \n",
"\n",
" ROMol \n",
"11 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"12 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"13 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"14 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"8 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"9 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"10 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"1 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"6 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"0 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"3 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"5 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"2 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"7 <img data-content=\"rdkit/molecule\" src=\"data:i... \n",
"4 <img data-content=\"rdkit/molecule\" src=\"data:i... "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_tautomer_dataframe(mol)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.11"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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