Skip to content

kevinjuan25/autoencoders_project

Repository files navigation

autoencoders_project

Unbiased simulations:

unbiased_simulations

Contains Python scripts for OpenMM simulations of:

  • 2-D particles on a Muller-Brown potential energy surface
  • Alanine dipeptide in water

Biased simulations

biased_simulations

Contains Python scripts for OpenMM simulations interleaved with rounds of CV discovery for 2-D particles on a Muller-Brown potential energy surface

Example simulations

example_simulations/

This directory contains Python scripts for OpenMM simulations of test 2-D and 3-D systems, demonstrating various capabilities of OpenMM.

Systems modelled:

  • Protein in water
  • Methane in water, configuration and topology generated using gmx pdb2gmx and gmx solvate utilities
  • Box of water
  • Box of gaseous Lennard-Jones particles
  • 2-D Lennard-Jones particles

Test simulations with openmm-torch:

openmm_torch_test_simulations

Contains Python scripts for test simulations using OpenMM-torch to add biasing forces on

  • 2-D particles on a Muller-Brown potential energy surface
  • Alanine dipeptide in water
  • Methane in water

Reference autoencoder model:

autoencoder

Contains code for PyTorch model to train an autoencoder on an MB particle trajectory

Modified GROMACS topology files (for OpenMM to read)

GMX_TOP

Can modify topology files in this directory and include them in OpenMM simulation scripts.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published