Movements and confirmational changes within proteins are important for understanding protein function. Common methods for studying protein dynamics include molecular dynamics (MD) simulations and normal model analyses (NMA). Deep learning methods have also been applied to probe protein dynamics.

Table of contents
  1. ProDy
  2. Making it rain
  3. Molecular Dynamics on Cloud Computing
  4. Protein Conformation Prediction
    1. Subsampled AF2
    2. AFCluster
    3. AF2Complex
    4. StELa
    5. Af2 Conformations
  5. Trajectory Analysis
    1. mRMSD
  6. Additional resources

ProDy

A collection of tools for studying different aspects of protein dynamics. I am preparing a more detailed walkthrough, looking more closely at the structural dynamics of a crystal structure of terpene synthase (TPS). Updates will be included in the Bioinformatics tab.

https://academic.oup.com/bioinformatics/article-abstract/27/11/1575/217006

Instructions and documentation for the Python package:
http://prody.csb.pitt.edu

Making it rain

User-friendly front-end for running molecular dynamics (MD) simulations.

https://pubs.acs.org/doi/10.1021/acs.jcim.1c00998

Different Google colab notebooks available:
https://github.com/pablo-arantes/making-it-rain

Molecular Dynamics on Cloud Computing

Instructions for doing molecular dynamics on Google Compute Engine, AWS (Amazon Web Services), and other Cloud Computing services.

Short blog post:
https://www.tanerkaragol.com/post/molecular-dynamics-on-google-compute-engine-aws-amazon-web-services-and-other-cloud-computing-se

Instructions available at:
https://github.com/karagol-taner/Molecular-Dynamics-on-AWS-and-Cloud-Computing

Protein Conformation Prediction

Subsampled AF2

High-throughput prediction of protein conformational distributions with subsampled AlphaFold2

Paper GitHub Colab

AFCluster

Predicting multiple conformations via sequence clustering and AlphaFold2

Paper GitHub Colab

AF2Complex

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning

Paper GitHub Colab

StELa

Searching for Structure: Characterizing the Protein Conformational Landscape with Clustering-Based Algorithms

Paper GitHub

Af2 Conformations

Sampling alternative conformational states of transporters and receptors with AlphaFold2

Paper GitHub

Trajectory Analysis

mRMSD

Analysis of Protein Folding Simulation with Moving Root Mean Square Deviation

Paper GitHub

Additional resources