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

  • Marc F. Lensink
  • , Guillaume Brysbaert
  • , Théo Mauri
  • , Nurul Nadzirin
  • , Sameer Velankar
  • , Raphael A.G. Chaleil
  • , Tereza Clarence
  • , Paul A. Bates
  • , Ren Kong
  • , Bin Liu
  • , Guangbo Yang
  • , Ming Liu
  • , Hang 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 A. Del Carpio Muñoz, Eiichiro Ichiishi, Ameya Harmalkar, Jeffrey J. Gray, Alexandre M.J.J. Bonvin, Francesco Ambrosetti, Rodrigo Vargas Honorato, Zuzana Jandova, Brian Jiménez-García, Panagiotis I. Koukos, Siri 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, Sandor Vajda, Dima Kozakov, Mireia Rosell, Luis A. Rodríguez-Lumbreras, Juan Fernandez-Recio, Agnieszka Karczynska, 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, Justas Dapkūnas, Kliment Olechnovič, Česlovas Venclovas, Rui Duan, Liming Qiu, Xianjin Xu, Shuang Zhang, Xiaoqin Zou, Shoshana J. Wodak
  • Université de Lille
  • European Molecular Biology Laboratory
  • The Francis Crick Institute
  • Jiangsu University of Technology
  • University of Missouri
  • University of Gdańsk
  • Gdańsk University of Technology
  • Medical University of Gdańsk
  • Nagoya City University
  • International University of Health and Welfare
  • Johns Hopkins University
  • Utrecht University
  • Stony Brook University
  • Innopolis University
  • Boston University
  • Russian Academy of Sciences
  • Universidad de La Rioja
  • Department of Earth Sciences
  • Université Grenoble Alpes
  • Huazhong University of Science and Technology
  • Purdue University
  • Tohoku University
  • National Institutes for Quantum Science and Technology
  • University of Maryland Biotechnology Institute
  • University of Maryland, College Park
  • King Abdullah University of Science and Technology
  • University of Naples Parthenope
  • Texas A&M University
  • Seoul National University
  • Kitasato University
  • University of Kansas
  • Vilnius University
  • Flanders Institute for Biotechnology

Research output: Contribution to journalArticlepeer-review

104 Scopus citations

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.

Original languageEnglish
Pages (from-to)1800-1823
Number of pages24
JournalProteins: Structure, Function and Bioinformatics
Volume89
Issue number12
DOIs
StatePublished - Dec 2021

Keywords

  • CAPRI
  • CASP
  • blind prediction
  • docking
  • oligomeric state
  • protein assemblies
  • protein complexes
  • protein docking
  • protein–protein interaction
  • template-based modeling

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