{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Flat Map Chains Demo\n", "\n", "Example demonstrateing how to extract protein chains from PDB entries. This example uses a flatMap function to transform a structure to its polymer chains.\n", "\n", "\n", "## Imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from pyspark import SparkConf, SparkContext\n", "from mmtfPyspark.filters import PolymerComposition\n", "from mmtfPyspark.io import mmtfReader\n", "from mmtfPyspark.mappers import StructureToPolymerChains" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Configure Spark" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "conf = SparkConf().setMaster(\"local[*]\") \\\n", " .setAppName(\"FlatMapChainsDemo\")\n", "sc = SparkContext(conf = conf)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read in MMTF files" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "path = \"../../resources/mmtf_reduced_sample/\"\n", "\n", "pdb = mmtfReader.read_sequence_file(path, sc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## flat map structure to polymer chains, filter by polymer composition and count\n", "\n", "### Supported polymer composition type:\n", "\n", "** polymerComposition.AMINO_ACIDS_20 **= [\"ALA\",\"ARG\",\"ASN\",\"ASP\",\"CYS\",\"GLN\",\"GLU\",\"GLY\",\"HIS\",\"ILE\",\"LEU\",\"LYS\",\"MET\",\"PHE\",\"PRO\",\"SER\",\"THR\",\"TRP\",\"TYR\",\"VAL\"]\n", "\n", "** polymerComposition.AMINO_ACIDS_22 **= [\"ALA\",\"ARG\",\"ASN\",\"ASP\",\"CYS\",\"GLN\",\"GLU\",\"GLY\",\"HIS\",\"ILE\",\"LEU\",\"LYS\",\"MET\",\"PHE\",\"PRO\",\"SER\",\"THR\",\"TRP\",\"TYR\",\"VAL\",\"SEC\",\"PYL\"]\n", "\n", "** polymerComposition.DNA_STD_NUCLEOTIDES **= [\"DA\",\"DC\",\"DG\",\"DT\"]\n", "\n", "** polymerComposition.RNA_STD_NUCLEOTIDES **= [\"A\",\"C\",\"G\",\"U\"]\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Chains with standard amino acids: 9386\n" ] } ], "source": [ "count = pdb.flatMap(StructureToPolymerChains(False, True)) \\\n", " .filter(PolymerComposition(PolymerComposition.AMINO_ACIDS_20)) \\\n", " .count()\n", " \n", "print(f\"Chains with standard amino acids: {count}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Terminate Spark" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "sc.stop()" ] } ], "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }