Using Machine Learning to Analyze Molecular Dynamics Simulations of Biomolecules

This repository contains the input files required to conduct the tutorial outlined in the corresponding manuscript. The contents of this repository are as follows: Tutorial.ipynbinput-files├── cov1pairs_resids.15.txt: Text file of residue pairs for SARS-CoV and ACE2├── cov2pairs_resids.15.txt: Text file of residue pairs for SARS-CoV-2 and ACE2├── cropped_cov1_run1.npy: File containing pairwise distances for the first replica of SARS-CoV├── cropped_cov1_run2.npy: File containing pairwise distances for the second replica of SARS-CoV├── cropped_cov2_run1.npy: File containing pairwise distances for the first replica of SARS-CoV-2├── cropped_cov2_run1.npy: File containing pairwise distances for the second replica of SARS-CoV-2

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-09
DOI
https://doi.org/10.5281/zenodo.15376188
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Using Machine Learning to Analyze Molecular Dynamics Simulations of Biomolecules

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Using Machine Learning to Analyze Molecular Dynamics Simulations of Biomolecules

article en

Abstract

This repository contains the input files required to conduct the tutorial outlined in the corresponding manuscript. The contents of this repository are as follows: Tutorial.ipynbinput-files├── cov1pairs_resids.15.txt: Text file of residue pairs for SARS-CoV and ACE2├── cov2pairs_resids.15.txt: Text file of residue pairs for SARS-CoV-2 and ACE2├── cropped_cov1_run1.npy: File containing pairwise distances for the first replica of SARS-CoV├── cropped_cov1_run2.npy: File containing pairwise distances for the second replica of SARS-CoV├── cropped_cov2_run1.npy: File containing pairwise distances for the first replica of SARS-CoV-2├── cropped_cov2_run1.npy: File containing pairwise distances for the second replica of SARS-CoV-2

Zenodo (CERN European Organization for Nuclear Research)
Uppsala University (SE), Georgia Institute of Technology (US)
Openalex Percentile: Top 56%
Computational Drug Discovery Methods
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