CNRS, Université de Paris, UPR 9080, Laboratoire de Biochimie Théorique, 13 Rue Pierre et Marie Curie, 75005 Paris, France.
Acta Crystallogr D Struct Biol. 2021 Jun 1;77(Pt 6):746-754. doi: 10.1107/S2059798321002941. Epub 2021 May 28.
Motivated by the current COVID-19 pandemic, which has spurred a substantial flow of structural data, the use of molecular-visualization experiences to make these data sets accessible to a broad audience is described. Using a variety of technology vectors related to the cloud, 3D and virtual reality gear, how to share curated visualizations of structural biology, modeling and/or bioinformatics data sets for interactive and collaborative exploration is examined. FAIR is discussed as an overarching principle for sharing such visualizations. Four initial example scenes related to recent COVID-19 structural data are provided, together with a ready-to-use (and share) implementation in the UnityMol software.
受当前 COVID-19 大流行的推动,出现了大量的结构数据,本文描述了如何利用分子可视化体验将这些数据集提供给更广泛的受众。本文还探讨了如何使用与云、3D 和虚拟现实设备相关的多种技术载体来共享结构生物学、建模和/或生物信息学数据集的精心制作的可视化内容,以进行交互式和协作探索。本文还讨论了 FAIR 作为共享此类可视化内容的总体原则。提供了四个与最近的 COVID-19 结构数据相关的初始示例场景,并在 UnityMol 软件中提供了一个即用(和可共享)的实现。