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Software for inferring the intrinsic fitness landscape of poliovirus capsid protein (vp1) and comparing it with that of analogous proteins in HIV

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Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

Table of Contents

Overview

This software package comprises scripts that include the main functions for reproducing the results presented in the paper titled "Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape".

Details

Title of paper

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

Authors

Ahmed A. Quadeer, John P. Barton, Arup K. Chakraborty, and Matthew R. McKay

Requirements

  1. A PC with MATLAB (preferrably v2017a or later) installed on it with the following additional toolboxes:

    • Bioinformatics Toolbox
    • Statistics and Machine Learning Toolbox
    • Curve Fitting Toolbox
    • Parallel Computing Toolbox
    • MATLAB Distributed Computing Server  
  2. For inferring maximum-entropy model parameters:

  3. For visualizing antigenic sites on the vp1 crystal structure

  4. For determining and visualizing pathways connecting the peaks:

  5. For constructing and visualizing phylogenetic trees:

  6. For contrasting the output of standard clustering methods with the peaks

Usage

  1. Download the repository
  2. Open MATLAB
  3. Change directory to the downloaded repository
  4. Run the script main.m 

For visualizing the step-by-step procedure and the corresponding output

  1. Download the html folder
  2. Open the "main.html" file in your browser

Troubleshooting

For any questions or comments, please email at ahmedaq@gmail.com.

Citation

Plain text

Ahmed A Quadeer, John P Barton, Arup K Charaborty, Matthew R McKay, Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape, Nature Communications, 2019.