3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources.
3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources.
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DOI：
10.1093/gigascience/giac118
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发表时间：
2022-11-30
期刊：
影响因子：
9.2
通讯作者：
中科院分区：
文献类型：
--
作者：
虽然科学家们经常可以从蛋白质的三维四级结构中推断出蛋白质的生物学功能，但已知蛋白质序列的数量与实验确定的结构之间的差距不断增加。这个问题的一个潜在的解决方案是越来越复杂的计算蛋白质建模方法。虽然它们本身往往很强大，但大多数方法都有优点和缺点。因此，它有利于研究人员检查来自不同模型提供商的模型，并进行比较分析，以确定哪些模型可以最好地解决其特定用例。为了使来自大量模型提供商的数据更容易被更广泛的科学界访问，我们建立了3D-Bestrom，这是一项合作计划，旨在创建一个具有统一数据访问机制的联合网络。3D-Bestern Network允许研究人员整理来自最先进和专业模型提供商以及蛋白质数据库的实验确定和理论蛋白质模型的坐标文件和元数据。
While scientists can often infer the biological function of proteins from their 3-dimensional quaternary structures, the gap between the number of known protein sequences and their experimentally determined structures keeps increasing. A potential solution to this problem is presented by ever more sophisticated computational protein modeling approaches. While often powerful on their own, most methods have strengths and weaknesses. Therefore, it benefits researchers to examine models from various model providers and perform comparative analysis to identify what models can best address their specific use cases. To make data from a large array of model providers more easily accessible to the broader scientific community, we established 3D-Beacons, a collaborative initiative to create a federated network with unified data access mechanisms. The 3D-Beacons Network allows researchers to collate coordinate files and metadata for experimentally determined and theoretical protein models from state-of-the-art and specialist model providers and also from the Protein Data Bank.
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影响因子：
64.8
作者：
Jumper J;Evans R;Pritzel A;Green T;Figurnov M;Ronneberger O;Tunyasuvunakool K;Bates R;Žídek A;Potapenko A;Bridgland A;Meyer C;Kohl SAA;Ballard AJ;Cowie A;Romera-Paredes B;Nikolov S;Jain R;Adler J;Back T;Petersen S;Reiman D;Clancy E;Zielinski M;Steinegger M;Pacholska M;Berghammer T;Bodenstein S;Silver D;Vinyals O;Senior AW;Kavukcuoglu K;Kohli P;Hassabis D
通讯作者：
Hassabis D
影响因子：
14.9
作者：
wwPDB consortium
通讯作者：
wwPDB consortium
影响因子：
14.9
作者：
Pieper U;Webb BM;Dong GQ;Schneidman-Duhovny D;Fan H;Kim SJ;Khuri N;Spill YG;Weinkam P;Hammel M;Tainer JA;Nilges M;Sali A
通讯作者：
Sali A
影响因子：
9.8
作者：
Bludau, Isabell;Willems, Sander;Zeng, Wen-Feng;Strauss, Maximilian T.;Hansen, Fynn M.;Tanzer, Maria C.;Karayel, Ozge;Schulman, Brenda A.;Mann, Matthias
通讯作者：
Mann, Matthias
影响因子：
14.9
作者：
Sehnal D;Bittrich S;Deshpande M;Svobodová R;Berka K;Bazgier V;Velankar S;Burley SK;Koča J;Rose AS
通讯作者：
Rose AS