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A python package to generate conformers for small molecules using molecular dynamics.

License: BSD 3-Clause "New" or "Revised" License

Python 69.64% Shell 30.36%
cheminformatics conformational-analysis drug-discovery molecular-modeling structure-activity-relationships

drugdiscmdconformers's Introduction

DrugDiscMDConformers

DrugDiscMDConformers is a package designed to generate molecular conformers using SMILES for drug discovery applications.

Outline of the Program

Main Script:

  • make.bash

Supplementary Scripts:

  1. main.py
  2. confgen_rdkit.py
  3. call_slurm.tcsh
  4. run.py
  5. sol_run.py
  6. getEnergy.py
  7. getEnergy_sol.py

Files and Directories Needed from the User:

  1. run.slurm
  2. sol_run.slurm

Summary of the Program

The package comprises several scripts, each with a specific purpose, aimed at facilitating the generation of molecular conformers and subsequent energy calculations. Here's a brief overview:

  1. Main Script Execution:

    • The bash script main.bash invokes main.py, which retrieves the PDB structure for the protein and extracts the ligand.
    • main.py utilizes the confgen function from confgen_rdkit.py to generate conformers using rdkit.
  2. Conformer Generation:

    • Conformers are segregated into different xyz inputs and stored in distinct directories, such as molecular_files/rdkit_conformer/.
  3. Energy Calculations:

    • Energy calculations, for both solvated and non-solvated conformers, are submitted batchwise using call_slurm.tcsh.
    • Python scripts getEnergy.py and getEnergy_sol.py are employed to extract energies and sort conformations based on their energy.
  4. Bound Ligand Conformation:

    • Energy calculations for the bound conformation of the ligand are also submitted.
  5. CREST Calculations:

    • CREST calculations are independently submitted inside the molecular_files directory.

This package streamlines the process of molecular conformer generation and energy calculations, providing a comprehensive toolkit for drug discovery endeavors.

License

This project is licensed under the MIT License.

Author

Anup Kumar

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