Baskaran Kumaran, Craft D Levi, Eghbalnia Hamid R, Gryk Michael R, Hoch Jeffrey C, Maciejewski Mark W, Schuyler Adam D, Wedell Jonathan R, Wilburn Colin W
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Front Mol Biosci. 2022 Jan 17;8:817175. doi: 10.3389/fmolb.2021.817175. eCollection 2021.
The Biological Magnetic Resonance Data Bank (BMRB) has served the NMR structural biology community for 40 years, and has been instrumental in the development of many widely-used tools. It fosters the reuse of data resources in structural biology by embodying the FAIR data principles (Findable, Accessible, Inter-operable, and Re-usable). NMRbox is less than a decade old, but complements BMRB by providing NMR software and high-performance computing resources, facilitating the reuse of software resources. BMRB and NMRbox both facilitate reproducible research. NMRbox also fosters the development and deployment of complex meta-software. Combining BMRB and NMRbox helps speed and simplify workflows that utilize BMRB, and enables facile federation of BMRB with other data repositories. Utilization of BMRB and NMRbox in tandem will enable additional advances, such as machine learning, that are poised to become increasingly powerful.
生物磁共振数据库(BMRB)已为核磁共振结构生物学界服务了40年,并且在许多广泛使用的工具的开发中发挥了重要作用。它通过体现FAIR数据原则(可查找、可访问、可互操作和可重用)促进结构生物学中数据资源的重用。NMRbox成立不到十年,但通过提供核磁共振软件和高性能计算资源来补充BMRB,促进软件资源的重用。BMRB和NMRbox都有助于开展可重复研究。NMRbox还促进了复杂元软件的开发和部署。将BMRB和NMRbox结合起来有助于加快和简化利用BMRB的工作流程,并使BMRB能够轻松地与其他数据存储库联合。同时使用BMRB和NMRbox将推动机器学习等其他进步,这些进步有望变得越来越强大。