deepdrug3D/.ipynb_checkpoints/DeepDrug-checkpoint.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# DeepDrug3D"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create pocket lists\n",
"4 pockets are created :\n",
" + control\n",
" + steroid\n",
" + heme\n",
" + nucleotide"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"with open(\"control.list\", \"r\") as filin:\n",
" control = filin.read()\n",
"control = control.split(\"\\n\")\n",
"control.pop()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"steroid.list\", \"r\") as filin:\n",
" steroid = filin.read()\n",
"steroid = steroid.split(\"\\n\")\n",
"steroid.pop()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"heme.list\", \"r\") as filin:\n",
" heme = filin.read()\n",
"heme = heme.split(\"\\n\")\n",
"heme.pop()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"nucleotide.list\", \"r\") as filin:\n",
" nucleotide = filin.read()\n",
"nucleotide = nucleotide.split(\"\\n\")\n",
"nucleotide.pop()"
]
}
],
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}