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A three-in-one workflow, Dock with Autodock, MD with OpenMM, FEP with OpenMM/yank

License: MIT License

HTML 92.42% Jupyter Notebook 7.58%

dock-md-fep's Introduction

Restart the simulation

Open the Dock-MD-FEP-restart.ipynb, after pasting the working directory path of last simulation. Import drive mannually, then run all the other cells at one time.

Dock-MD-FEP

This notebook only requires four strings, then all the rest is handled by the code itself.

image


Docking, Molecular dynamic(MD), and Free energy perturbation (FEP) are important modelling methods in medicinal chemistry.

This Jupyter notebook shows how to run a Three-in-one simulation, i.e., docking, MD and FEP, with freely available GPU(and CPU) from Google Colab.

default parameters

-- MD , all MD input use Amber Gaff2 force field to deal with small molecule.

MD 0 , equilibration 0.5 ns, production 1.0 ns. OpenMM as simulation engine.

MD 1, equilibration 1.0 ns, production 2.0 ns. OpenMM as simulation engine.

Dock, gnina, --exaustiveness=200. The best pose with docking score and best CNN score was carried on to FEP

FEP, stop simulaiton when reaching error < 0.1 KT, Simulation engine OpenMM with Yank python library.

image

Free energy of binding(benzene) : -11.229 +- 0.352 kT (-6.694 +- 0.210 kcal/mol)

dock-md-fep's People

Contributors

quantaosun avatar

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