TY - JOUR
T1 - Modeling SARS-CoV-2 proteins in the CASP-commons experiment
AU - AlphaFold team
AU - CASP-COVID participants
AU - Kryshtafovych, Andriy
AU - Moult, John
AU - Billings, Wendy M.
AU - Della Corte, Dennis
AU - Fidelis, Krzysztof
AU - Kwon, Sohee
AU - Olechnovič, Kliment
AU - Seok, Chaok
AU - Venclovas, Česlovas
AU - Won, Jonghun
AU - Adhikari, Badri
AU - Adiyaman, Recep
AU - Aguirre-Plans, Joaquim
AU - Anishchenko, Ivan
AU - Baek, Minkyung
AU - Baker, David
AU - Baldassarre, Frederico
AU - Barger, Jacob
AU - Bhattacharya, Sutanu
AU - Bhattacharya, Debswapna
AU - Bitton, Mor
AU - Cao, Renzhi
AU - Cheng, Jianlin
AU - Christoffer, Charles
AU - Czaplewski, Cezary
AU - Du, Zongyang
AU - Elofsson, Arne
AU - Faraggi, Eshel
AU - Feig, Michael
AU - Fernandez-Fuentes, Narcis
AU - Grishin, Nick
AU - Grudinin, Sergei
AU - Guo, Zhiye
AU - Hanazono, Yuya
AU - Hassabis, Demis
AU - Hedelius, Bryce
AU - Heo, Lim
AU - Hiranuma, Naozumi
AU - Hunt, Cassandra
AU - Igashov, Ilia
AU - Ishida, Takashi
AU - Jernigan, Robert L.
AU - Jones, David
AU - Jumper, John
AU - Kadukova, Maria
AU - Kandathil, Shaun
AU - Keasar, Chen
AU - Kihara, Daisuke
AU - Kinch, Lisa
AU - Sidi, Tomer
N1 - Publisher Copyright:
© 2021 Wiley Periodicals LLC.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - 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).
AB - 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).
KW - CASP
KW - COVID
KW - EMA
KW - SARS-CoV-2
KW - model accuracy
KW - protein structure prediction
UR - http://www.scopus.com/inward/record.url?scp=85116474145&partnerID=8YFLogxK
U2 - 10.1002/prot.26231
DO - 10.1002/prot.26231
M3 - Article
C2 - 34462960
AN - SCOPUS:85116474145
SN - 0887-3585
VL - 89
SP - 1987
EP - 1996
JO - Proteins: Structure, Function and Bioinformatics
JF - Proteins: Structure, Function and Bioinformatics
IS - 12
ER -