Kryshtafovych, AndriyMoult, JohnBillings, Wendy M.Della Corte, DennisFidelis, KrzysztofKwon, SoheeOlechnovič, KlimentSeok, ChaokVenclovas, ČeslovasWon, JonghunCASP‐COVID participants2022-02-182022-02-182021-12Kryshtafovych, A., Moult, J., Billings, W. M., Della Corte, D., Fidelis, K., Kwon, S., Olechnovič, K., Seok, C., Venclovas, Č., Won, J., & CASP‐COVID participants. (2021). Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment. Proteins: Structure, Function, and Bioinformatics, 89(12), 1987–1996. https://doi.org/10.1002/prot.262310887-3585, 1097-0134https://hdl.handle.net/1805/27866This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.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).en-USPublic Health EmergencySARS‐CoV2Critical Assessment of Structure Predictionprotein structureArticle