Skip to content

UCL-CCS/TIES_PM_RNAP_RIF

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 

Repository files navigation

TIES_PM_RNAP_RIF

This repository contains all input files, output data, and processed results used in the study:

"Rapid, accurate and reproducible de novo prediction of resistance to antituberculars"

The TIES-PM simulations were primarily executed on the Polaris High-Performance Computing (HPC) platform, with additional analysis performed on local machines. The data provided here allows for inspection, reproduction, and further exploration of our molecular simulation-based resistance prediction approach.


Repository Structure

The repository is organized into three main directories:

1. Input Files

Contains all files required to set up and run the TIES-PM workflow. It is divided into three parts:

  • Preparation: Example inputs for wild-type and hybrid residues, along with an automated pipeline (modeling) to generate simulation-ready structures.
  • Calculation: A sample directory structure and configuration files (replica-confs) for both com (complex) and prot (apo protein), along with a job submission script for Polaris.
  • Post-processing: Scripts for analyzing simulation outputs and computing free energy changes, including an automated analysis pipeline (auto_post0.sh) and support scripts.

2. Output Files

Provides a complete example of raw simulation outputs for the mutation V170F, demonstrating the directory structure used in TIES-PM:

  • Each of com/ and prot/ contains 13 lambda windows.
  • Each lambda window includes 5 replicas.
  • The sim1.alch files from each replica are the key inputs for ΔΔG calculation.

3. Results

Contains all processed free energy results from the TIES-PM workflow. The main results file includes:

  • ΔG and ΔΔG values with associated statistical errors
  • Mutation classification (Resistant/Susceptible)
  • Comparison to experimental annotations (e.g., WHO phenotype, CRyPTIC data)
  • Metadata such as sample counts and resistance proportions

Each column in the results file is explained in detail in the corresponding README.md file within the 3_Results/ directory.


Usage

Users interested in replicating or extending this work should:

  • Review the input structure in 1_Input_files/ and adapt templates for their own systems;
  • Use the provided output example in 2_Output_files/ to understand the lambda/replica setup;
  • Refer to 3_Results/ for analysis outputs and validation against reference datasets.

The workflow is compatible with other HPC platforms with minor adjustments. Detailed automation and analysis scripts are included or available upon request.


Citation

If you use the data or structure of this repository, please cite our paper:

Click here for preprint paper


For further questions or collaborations, please contact:
[email protected]

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published