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

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Amitava Roy, Ethan Ward, Illyoung Choi, Michele Cosi, Tony Edgin, Travis S Hughes, Md Shafayet Islam, Asif M Khan, Aakash Kolekar, Mariah Rayl, Isaac Robinson, Paul Sarando, Edwin Skidmore, Tyson L Swetnam, Mariah Wall, Zhuoyun Xu, Michelle L Yung, Nirav Merchant, Travis J Wheeler
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引用次数: 0

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.
MDRep--用于社区贡献的蛋白质分子动力学模拟的开放式数据仓库
生物大分子的分子动力学(MD)模拟可提供关于构象变化和动态行为的重要见解,揭示有关折叠和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收集具有巨大的潜力,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,应该有一个开放访问的资源库,让科学家们能够提交和存储他们对蛋白质和蛋白质-药物相互作用的 MD 模拟,并查找、检索、分析和可视化他人制作的模拟。然而,尽管结构生物学中的 MD 模拟无处不在,但却没有这样一个资源库;因此,模拟结果被分散存储在不同的地方,没有统一的元数据或访问协议。在这里,我们介绍 MDRepo,它是一种强大的基础设施,为标准化的社区模拟贡献提供了相对简单的流程,激活了对存储数据的通用下游分析,并实现了对贡献数据的搜索、检索和可视化。MDRepo建立在开源的CyVerse研究网络基础设施之上,能够存储PB级的仿真数据,同时提供高带宽上传和下载功能,并为基于云的存储数据访问奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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