Gmx_qk
Gmx_qk automates protein and protein–ligand complex molecular dynamics simulations in Gromacs and performs MM/PBSA calculations to estimate binding affinities.
Key Features:
- Automated MD workflow: Executes energy minimization, NVT and NPT equilibration, and production MD simulations in an automated bash workflow.
- Gromacs integration: Uses Gromacs for all MD simulation steps and trajectory generation.
- MM/PBSA bridging: Performs MM/PBSA calculations on simulation outputs to derive binding affinity estimates.
- Parameter-driven execution: Accepts inputs including energy minimization parameters, simulation duration, and output file naming to control the automated run.
- Reproducibility and standardization: Standardizes the simulation protocol to improve reproducibility and reduce user-induced variability.
Scientific Applications:
- Drug discovery: Estimation of binding affinities for protein–ligand complexes to support compound prioritization.
- Protein–protein and protein–ligand interaction analysis: Simulation of protein/protein-ligand complexes to study molecular interactions and complex stability.
- Binding energy evaluation: MM/PBSA-based binding affinity evaluation from MD trajectories.
Methodology:
A bash workflow invokes Gromacs to perform energy minimization, NVT and NPT equilibration, and MD production runs, then applies MM/PBSA calculations to the simulation outputs using provided protein or protein–ligand complex files and specified parameters.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Bash
- Added:
- 12/1/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Molecular dynamics
Publications
Singh H, Raja A, Prakash A, Medhi B. Gmx_qk: An Automated Protein/Protein–Ligand Complex Simulation Workflow Bridged to MM/PBSA, Based on Gromacs and Zenity-Dependent GUI for Beginners in MD Simulation Study. Journal of Chemical Information and Modeling. 2023;63(9):2603-2608. doi:10.1021/acs.jcim.3c00341. PMID:37079775.