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Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

卡斯普 服务器 计算机科学 模板 排名(信息检索) 蛋白质结构预测 数据挖掘 计算生物学 机器学习 生物 蛋白质结构 计算机网络 生物化学 程序设计语言
作者
Marc F. Lensink,Guillaume Brysbaert,Théo Mauri,Nurul Nadzirin,Sameer Velankar,Raphaël A. G. Chaleil,Tereza Clarence,Paul A. Bates,Ren Kong,Bin Liu,Guangbo Yang,Ming Liu,Handuo Shi,Xufeng Lu,Shan Chang,Raj S. Roy,Farhan Quadir,Jian Liu,Jianlin Cheng,Anna Antoniak,Cezary Czaplewski,Artur Giełdoń,Mateusz Kogut,Agnieszka G. Lipska,Adam Liwo,Emilia A. Lubecka,Martyna Maszota‐Zieleniak,Adam K. Sieradzan,Rafał Ślusarz,Patryk A. Wesołowski,Karolina Zięba,Carlos Adriel Del Carpio Munoz,Eiichiro Ichiishi,Ameya Harmalkar,Jeffrey J. Gray,Alexandre M. J. J. Bonvin,Francesco Ambrosetti,Rodrigo Vargas Honorato,Zuzana Jandová,Brian Jiménez‐García,Panagiotis I. Koukos,Siri C. van Keulen,Charlotte W. van Noort,Manon Réau,Jorge Roel‐Touris,Sergei Kotelnikov,Dzmitry Padhorny,Kathryn A. Porter,Andrey Alekseenko,Mikhail Ignatov,Israel Desta,Ryota Ashizawa,Zhuyezi Sun,Usman Ghani,Nasser Hashemi,Sàndor Vajda,Dima Kozakov,Mireia Rosell,Luis Ángel Rodríguez-Lumbreras,Juan Fernández‐Recio,Agnieszka Karczyńska,Sergei Grudinin,Yumeng Yan,Hao Li,Peicong Lin,Sheng‐You Huang,Charles Christoffer,Genki Terashi,Jacob Verburgt,Daipayan Sarkar,Tunde Aderinwale,Xiao Wang,Daisuke Kihara,Tsukasa Nakamura,Yuya Hanazono,Ragul Gowthaman,Johnathan D. Guest,Rui Yin,Ghazaleh Taherzadeh,Brian G. Pierce,Didier Barradas‐Bautista,Zhen Cao,Luigi Cavallo,Romina Oliva,Yuanfei Sun,Shaowen Zhu,Yang Shen,Taeyong Park,Hyeonuk Woo,Jinsol Yang,Sohee Kwon,Jonghun Won,Chaok Seok,Yasuomi Kiyota,Shinpei Kobayashi,Yoshiki Harada,Mayuko Takeda‐Shitaka,Petras J. Kundrotas,Amar Singh,Ilya A. Vakser
出处
期刊:Proteins [Wiley]
卷期号:89 (12): 1800-1823 被引量:89
标识
DOI:10.1002/prot.26222
摘要

Abstract 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.

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