MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins

Molecular Dynamics (MD) simulation of biomolecules provides important insights into conformational changes and dynamic behavior, revealing critical information about folding and interactions with other molecules. The collection of simulations stored in computers across the world holds immense potential to serve as training data for future Machine Learning models that will transform the prediction of structure, dynamics, drug interactions, and more. Ideally, there should exist an open access repository that enables scientists to submit and store their MD simulations of proteins and protein-drug interactions, and to find, retrieve, analyze, and visualize simulations produced by others. However, despite the ubiquity of MD simulation in structural biology, no such repository exists; as a result, simulations are instead stored in scattered locations without uniform metadata or access protocols. Here, we introduce MDRepo, a robust infrastructure that provides a relatively simple process for standardized community contribution of simulations, activates common downstream analyses on stored data, and enables search, retrieval, and visualization of contributed data. MDRepo is built on top of the open-source CyVerse research cyber-infrastructure, and is capable of storing petabytes of simulations, while providing high bandwidth upload and download capabilities and laying a foundation for cloud-based access to its stored data.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-13
DOI
https://doi.org/10.1093/nar/gkae1109
Citations
11
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
2.57

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article

MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins

Tony Edgin, Tudor Hughes, Mariah Rayl, Tyson L. Swetnam et al.
11 citations
Nucleic Acids Research
Bioinformatics and Genomic Networks
2.57
article

MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins

Tony Edgin, Tudor Hughes, Mariah Rayl, Tyson L. Swetnam, Zhuoyun Xu, Illyoung Choi, Nirav Merchant, Michelle Lynn Yung, Isaac Robinson, Amitava Roy, Asif M. Khan, Travis J. Wheeler, Paul Sarando, Michele Cosi, Edwin Skidmore, Md Nazrul Islam, Mariah Wall, Aakash Kolekar, Ethan Ward
article en
11 citations

Abstract

Molecular Dynamics (MD) simulation of biomolecules provides important insights into conformational changes and dynamic behavior, revealing critical information about folding and interactions with other molecules. The collection of simulations stored in computers across the world holds immense potential to serve as training data for future Machine Learning models that will transform the prediction of structure, dynamics, drug interactions, and more. Ideally, there should exist an open access repository that enables scientists to submit and store their MD simulations of proteins and protein-drug interactions, and to find, retrieve, analyze, and visualize simulations produced by others. However, despite the ubiquity of MD simulation in structural biology, no such repository exists; as a result, simulations are instead stored in scattered locations without uniform metadata or access protocols. Here, we introduce MDRepo, a robust infrastructure that provides a relatively simple process for standardized community contribution of simulations, activates common downstream analyses on stored data, and enables search, retrieval, and visualization of contributed data. MDRepo is built on top of the open-source CyVerse research cyber-infrastructure, and is capable of storing petabytes of simulations, while providing high bandwidth upload and download capabilities and laying a foundation for cloud-based access to its stored data.

Nucleic Acids ResearchVol. 53(D1)
Shahjalal University of Science and Technology (BD), University of Arizona (US), Qatar Science and Technology Park (QA), University of Montana (US)
National Science Foundation, Indiana University, University of Arizona, Office of Advanced Cyberinfrastructure
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Bioinformatics and Genomic Networks
2.57
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