Prediction of homoprotein and heteroprotein complexes by protein docking and template‐based modeling: A CASP‐CAPRI experiment

Marc F. Lensink(Centre National de la Recherche Scientifique), Sameer Velankar(European Bioinformatics Institute), Andriy Kryshtafovych(University of California, Davis), Shen‐You Huang(University of Missouri), Dina Schneidman‐Duhovny(University of California, San Francisco), Andrej Šali(QB3), Joan Segura(Centro Nacional de Biotecnología), Narcís Fernández‐Fuentes(Aberystwyth University), Shruthi Viswanath(The University of Texas at Austin), Ron Elber(The University of Texas at Austin), Sergei Grudinin(Centre National de la Recherche Scientifique), Petr Popov(Centre National de la Recherche Scientifique), Émilie Neveu(Centre National de la Recherche Scientifique), Hasup Lee(Seoul National University), Minkyung Baek(Seoul National University), Sangwoo Park(Seoul National University), Lim Heo(Seoul National University), Gyu Rie Lee(Seoul National University), Chaok Seok(Seoul National University), Sanbo Qin(Florida State University), Huan‐Xiang Zhou(Florida State University), David W. Ritchie(Institut national de recherche en sciences et technologies du numérique), Bernard Maigret(Centre National de la Recherche Scientifique), Marie‐Dominique Devignes(Centre National de la Recherche Scientifique), Anisah W. Ghoorah(University of Mauritius), Mieczyslaw Torchala(The Honourable Society of Lincoln's Inn), Raphaël A. G. Chaleil(The Honourable Society of Lincoln's Inn), Paul A. Bates(The Honourable Society of Lincoln's Inn), Efrat Ben‐Zeev(Weizmann Institute of Science), Miriam Eisenstein(Weizmann Institute of Science), Surendra S. Negi(The University of Texas Medical Branch at Galveston), Zhiping Weng(University of Massachusetts Chan Medical School), Thom Vreven(University of Massachusetts Chan Medical School), Brian G. Pierce(University of Massachusetts Chan Medical School), Tyler Borrman(University of Massachusetts Chan Medical School), Jinchao Yu(Centre National de la Recherche Scientifique), Françoise Ochsenbein(Centre National de la Recherche Scientifique), Raphaël Guérois(Centre National de la Recherche Scientifique), Anna Vangone(Utrecht University), João Rodrigues(Utrecht University), Gydo van Zundert(Utrecht University), Mehdi Nellen(Utrecht University), Li C. Xue(Utrecht University), Ezgi Karaca(Utrecht University), Adrien S. J. Melquiond(Utrecht University), Koen M. Visscher(Utrecht University), Panagiotis L. Kastritis(Utrecht University), Alexandre M. J. J. Bonvin(Utrecht University), Xianjin Xu(University of Missouri), Liming Qiu(University of Missouri), Chengfei Yan(University of Missouri), Jilong Li(University of Missouri), Zhiwei Ma(University of Missouri), Jianlin Cheng(University of Missouri), Xiaoqin Zou(University of Missouri), Yang Shen(Toyota Technological Institute at Chicago), Lenna X. Peterson(Purdue University West Lafayette), Hyungrae Kim(Purdue University West Lafayette), Amit Roy(National Institutes of Health), Xusi Han(Purdue University West Lafayette), Juan Esquivel‐Rodríguez(Purdue University West Lafayette), Daisuke Kihara(Purdue University West Lafayette), Xiaofeng Yu(Heidelberg Institute for Theoretical Studies), Neil J. Bruce(Heidelberg Institute for Theoretical Studies), Jonathan C. Fuller(Heidelberg Institute for Theoretical Studies), Rebecca C. Wade(Heidelberg University), Ivan Anishchenko(University of Kansas), Petras J. Kundrotas(University of Kansas), Ilya A. Vakser(University of Kansas), Kenichiro Imai(National Institute of Advanced Industrial Science and Technology), Kazunori Yamada(National Institute of Advanced Industrial Science and Technology), Toshiyuki Oda(National Institute of Advanced Industrial Science and Technology), Tsukasa Nakamura(The University of Tokyo), Kentaro Tomii(National Institute of Advanced Industrial Science and Technology), Chiara Pallara(Barcelona Supercomputing Center), Miguel Romero‐Durana(Barcelona Supercomputing Center), Brian Jiménez‐García(Barcelona Supercomputing Center), Iain H. Moal(Barcelona Supercomputing Center), Juan Fernández‐Recio(Barcelona Supercomputing Center), Jong Young Joung(Korea Institute for Advanced Study), Jong Yun Kim(Korea Institute for Advanced Study), Keehyoung Joo(Korea Institute for Advanced Study), Jooyoung Lee(Korea Institute for Advanced Study), Dima Kozakov(Boston University), Sándor Vajda(Boston University), Scott E. Mottarella(Boston University), David R. Hall(Boston University), Dmitri Beglov(Boston University), Artem B. Mamonov(Boston University), Bing Xia(Boston University), Tanggis Bohnuud(Boston University), Carlos A. Del Carpio(Kyoto Institute of Technology), Eichiro Ichiishi(International University of Health and Welfare), Nicholas Marze(Johns Hopkins University), Daisuke Kuroda(Johns Hopkins University), Shourya S. Roy Burman(Johns Hopkins University), Jeffrey J. Gray(Johns Hopkins University), Edrisse Chermak(King Abdullah University of Science and Technology), Luigi Cavallo(King Abdullah University of Science and Technology), Romina Oliva(Parthenope University of Naples), Andrey Tovchigrechko(J. Craig Venter Institute), Shoshana J. Wodak(University of Toronto)
Proteins Structure Function and Bioinformatics
April 28, 2016
Cited by 164Open Access
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Abstract

We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein-protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24 CAPRI groups and 7 CASP groups submitted docking predictions for each target, and 12 CAPRI groups per target participated in the CAPRI scoring experiment. In total more than 9500 models were assessed against the 3D structures of the corresponding target complexes. Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations. Targets with ambiguous or inaccurate oligomeric state assignments, often featuring crystal contact-sized interfaces, represented a confounding factor. For those, a much poorer prediction performance was achieved, while nonetheless often providing helpful clues on the correct oligomeric state of the protein. The prediction performance was very poor for genuine tetrameric targets, where the inaccuracy of the homology-built subunit models and the smaller pair-wise interfaces severely limited the ability to derive the correct assembly mode. Our analysis also shows that docking procedures tend to perform better than standard homology modeling techniques and that highly accurate models of the protein components are not always required to identify their association modes with acceptable accuracy. Proteins 2016; 84(Suppl 1):323-348. © 2016 Wiley Periodicals, Inc.


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