Overview and applications of map and model validation tools in the CCP-EM software suite.
Overview and applications of map and model validation tools in the CCP-EM software suite.
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DOI:
10.1039/d2fd00103a
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发表时间:
2022-11-08
影响因子:
3.4
通讯作者:
Winn, Martyn D.
中科院分区:
文献类型:
--
作者:
Joseph, Agnel Praveen;Malhotra, Sony;Burnley, Tom;Winn, Martyn D.
Cryogenic electron microscopy (cryo-EM) has recently been established as a powerful technique for solving macromolecular structures. Although the best resolutions achievable are improving, a significant majority of data are still resolved at resolutions worse than 3 Å, where it is non-trivial to build or fit atomic models. The map reconstructions and atomic models derived from the maps are also prone to errors accumulated through the different stages of data processing. Here, we highlight the need to evaluate both model geometry and fit to data at different resolutions. Assessment of cryo-EM structures from SARS-CoV-2 highlights a bias towards optimising the model geometry to agree with the most common conformations, compared to the agreement with data. We present the CoVal web service which provides multiple validation metrics to reflect the quality of atomic models derived from cryo-EM data of structures from SARS-CoV-2. We demonstrate that further refinement can lead to improvement of the agreement with data without the loss of geometric quality. We also discuss the recent CCP-EM developments aimed at addressing some of the current shortcomings. Atomic models from cryo-EM show a preference for geometric quality with the expense of agreement with the map data. This study highlights the lack of validation standards and CCP-EM efforts and related developments in this context.
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DOI:
10.1107/s2059798318009324
发表时间:
2018-09-01
期刊:
Acta crystallographica. Section D, Structural biology
影响因子:
--
作者:
Afonine PV;Klaholz BP;Moriarty NW;Poon BK;Sobolev OV;Terwilliger TC;Adams PD;Urzhumtsev A
通讯作者:
Urzhumtsev A
影响因子:
14.9
作者:
The Gene Ontology Consortium
通讯作者:
The Gene Ontology Consortium
DOI:
10.1016/j.ymeth.2016.03.007
发表时间:
2016-05-01
期刊:
Methods (San Diego, Calif.)
影响因子:
--
作者:
Joseph AP;Malhotra S;Burnley T;Wood C;Clare DK;Winn M;Topf M
通讯作者:
Topf M
影响因子:
5.7
作者:
Herzik, Mark A., Jr.;Fraser, James S.;Lander, Gabriel C.
通讯作者:
Lander, Gabriel C.
影响因子:
14.9
作者:
Drozdetskiy A;Cole C;Procter J;Barton GJ
通讯作者:
Barton GJ