Rapid response to emerging biomedical challenges and threats.
Rapid response to emerging biomedical challenges and threats.
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DOI：
10.1107/s2052252521003018
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发表时间：
2021-05-01
期刊：
影响因子：
3.9
通讯作者：
Minor W
中科院分区：
文献类型：
--
作者：
Grabowski M;Macnar JM;Cymborowski M;Cooper DR;Shabalin IG;Gilski M;Brzezinski D;Kowiel M;Dauter Z;Rupp B;Wlodawer A;Jaskolski M;Minor W
当生物医学危机发生时，世界各地的结构生物学家会通过确定相关蛋白质及其复合物的结构来做出反应，从而产生大量数据，如果没有设计用于分类、注释和验证它们的资源，这些数据可能会令人难以承受。先进的信息系统对于从大量未经整理、脱节的数据和出版物中提取和推断知识是必要的。作为全球抗击当前疫情大流行的一部分，不到一年的时间里，已发表了近 10 万篇与 COVID-19 相关的论文，近千个由 SARS-CoV-2 编码的大分子模型已存入蛋白质数据库。新结构数据的大量涌现催生了多种专门用于评估结构数据和模型的正确性和质量的资源。这里描述了一种使用资源 https://covid19.bioreproducibility.org 评估大量此类数据的方法，该方法提供了一个模板，可用于为应对未来生物医学危机而采取的大规模举措。更广泛地使用所描述的方法可以大大减少信息噪音并显着提高生物医学研究的可重复性。
When biomedical crises strike, structural biologists worldwide respond by determining the structures of relevant proteins and their complexes, resulting in an avalanche of data that can be overwhelming without a resource designed to classify, annotate and validate them. An advanced information system is necessary to extract and infer knowledge from a deluge of uncurated and disjointed data and publications. As part of the global mobilization to combat the present pandemic, almost 100 000 COVID-19-related papers have been published and nearly a thousand models of macromolecules encoded by SARS-CoV-2 have been deposited in the Protein Data Bank within less than a year. The avalanche of new structural data has given rise to multiple resources dedicated to assessing the correctness and quality of structural data and models. Here, an approach to evaluate the massive amounts of such data using the resource https://covid19.bioreproducibility.org is described, which offers a template that could be used in large-scale initiatives undertaken in response to future biomedical crises. Broader use of the described methodology could considerably curtail information noise and significantly improve the reproducibility of biomedical research.