Git Product home page Git Product logo

rf-tica-md's Introduction

RF-TICA-MD

This repository contains the codes and scripts for the paper "Resolving Protein Conformational Plasticity and Substrate Binding Through the Lens of Machine-Learning" by Navjeet Ahalawat and Jagannath Mondal (2022) doi: https://doi.org/10.1101/2022.01.07.475334

I am using Anaconda (Python 3.6) and the following packages:

  • MSMBuilder 3.8.0.
  • PyEMMA 2.5.4
  • scikit-learn 0.19.2
  • numpy
  • matplotlib

Files

  • run_pair_distances.sh - bash script to calculate distances between given pairs using msmbuilder package
  • contact_pairs.txt - contact pairs used in in msmbuilder
  • script_randomforest.py - python script to build the Random Forest Classifier Model
  • xgboost.py - python script to build XGBoost model for classification
  • selected_pairs2npy.py - Python script to extract the selected pairs identified from RF Classifier
  • Top200_residue_pairs - Top 200 pairs from the RF Classifier Model of T4L system
  • plot_tica.py - Python script to plot the free energy surface
  • plot_tica_fig2.py - Python script to plot the free energy surface
  • plot_tica_fig2_new.py - Python script to plot the free energy surface
  • plot_tica_fig4.py - Python script to plot the free energy surface
  • plot_tica_fig4_new.py - Python script to plot the free energy surface
  • traj1_pairs_1-2.tcl - VMD TCL script to visulaize network of the selected pairs
  • traj2_pairs_1-2.tcl - VMD TCL script to visulaize network of the selected pairs
  • traj3_pairs_1-2.tcl - VMD TCL script to visulaize network of the selected pairs
  • t4l_image.com - UCSF Chimera script to visulaize the T4L protein

preparing data and adapting script

  1. Prepare raw collective varibale using msmbuilder script.
  2. Catenate all the numpy files and rename it to X_3_trajs.npy
  3. Calculate distance between cavity COM and ligand (benzene) COM
  4. Catenate all distance files in the same order of X_3_trajs.npy and convert it into binary format 0 and 1 using distance cutoff criteria. Rename this file as Y_3_trajs.npy.
  5. Build RF Classifier Model using script_randomforrest.py
  6. Use this model for further analysis

Generating Network Images using vmd, ref.pdb, and tcl scripts

$ vmd -e traj1_pairs_1-2.tcl ref.pdb

img

$ vmd -e traj2_pairs_1-2.tcl ref.pdb

img

$ vmd -e traj3_pairs_1-2.tcl ref.pdb

img

rf-tica-md's People

Contributors

navjeet0211 avatar

Stargazers

Yu-Yuan (Stuart) Yang avatar Stephane De Cesco avatar  avatar  avatar Suman Chakrabarty avatar

Watchers

James Cloos avatar  avatar  avatar

Forkers

jmlab-tifrh

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.