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Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment
https://repo.qst.go.jp/records/84601
https://repo.qst.go.jp/records/84601d88a9f8a-00d0-4a7b-909f-23af4520b9b5
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-11-13 | |||||
タイトル | ||||||
タイトル | Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
F. Lensink, Marc
× F. Lensink, Marc× Brysbaert, Guillaume× Théo, Mauri× Nadzirin, Nurul× Velankar, Sameer× A. G. Chaleil, Raphael× Clarence, Tereza× A. Bates, Paul× Kong, Ren× Liu, Bin× Yang, Guangbo× Yuya, Hanazono× Others× Yuya, Hanazono |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We present the results for CAPRI Round 50, the fourth joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets, including six dimers, three trimers, and three higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly related templates were found for the individual subunits. Twenty-five CAPRI groups including eight automatic servers submitted ~1250 models per target. Twenty groups including six servers participated in the CAPRI scoring challenge submitted ~190 models per target. The accuracy of the predicted models was evaluated using the classical CAPRI criteria. The prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top-ranking models. Compared to the previous CASP-CAPRI challenge, top performing groups submitted such models for a larger fraction (70–75%) of the targets in this Round, but fewer of these models were of high accuracy. Scorer groups achieved stronger performance with more groups submitting correct models for 70–80% of the targets or achieving high accuracy predictions. Servers performed less well in general, except for the MDOCKPP and LZERD servers, who performed on par with human groups. In addition to these results, major advances in methodology are discussed, providing an informative overview of where the prediction of protein assemblies currently stands. | |||||
書誌情報 |
Proteins: Structure, Function, and Bioinformatics 巻 89, 号 12, p. 1800-1823, 発行日 2021-08 |
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出版者 | ||||||
出版者 | Wiley | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1097-0134 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1002/prot.26222 | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://onlinelibrary.wiley.com/doi/abs/10.1002/prot.26222 |