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MDRepo——一个用于社区贡献的蛋白质分子动力学模拟的开放数据仓库。

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

作者信息

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

机构信息

Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, USA.

R. Ken Coit College of Pharmacy, University of Arizona, Tucson, AZ, USA.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D477-D486. doi: 10.1093/nar/gkae1109.

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.

摘要

生物分子的分子动力学(MD)模拟为构象变化和动态行为提供了重要见解,揭示了有关折叠以及与其他分子相互作用的关键信息。存储在世界各地计算机中的模拟数据集具有巨大潜力,可作为未来机器学习模型的训练数据,从而改变结构、动力学、药物相互作用等方面的预测。理想情况下,应该有一个开放获取的存储库,使科学家能够提交和存储他们对蛋白质及蛋白质 - 药物相互作用的MD模拟,并查找、检索、分析和可视化其他人产生的模拟。然而,尽管MD模拟在结构生物学中无处不在,但这样的存储库并不存在;结果,模拟反而存储在分散的位置,没有统一的元数据或访问协议。在此,我们介绍MDRepo,这是一个强大的基础设施,它为模拟的标准化社区贡献提供了一个相对简单的过程,可以对存储的数据进行常见的下游分析,并能够对贡献的数据进行搜索、检索和可视化。MDRepo基于开源的CyVerse研究网络基础设施构建,能够存储PB级的模拟数据,同时提供高带宽的上传和下载能力,并为基于云的存储数据访问奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4926/11701643/f7501ad7a3bc/gkae1109figgra1.jpg

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