Your browser doesn't support javascript.
loading
Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.
Lensink, Marc F; Brysbaert, Guillaume; Nadzirin, Nurul; Velankar, Sameer; Chaleil, Raphaël A G; Gerguri, Tereza; Bates, Paul A; Laine, Elodie; Carbone, Alessandra; Grudinin, Sergei; Kong, Ren; Liu, Ran-Ran; Xu, Xi-Ming; Shi, Hang; Chang, Shan; Eisenstein, Miriam; Karczynska, Agnieszka; Czaplewski, Cezary; Lubecka, Emilia; Lipska, Agnieszka; Krupa, Pawel; Mozolewska, Magdalena; Golon, Lukasz; Samsonov, Sergey; Liwo, Adam; Crivelli, Silvia; Pagès, Guillaume; Karasikov, Mikhail; Kadukova, Maria; Yan, Yumeng; Huang, Sheng-You; Rosell, Mireia; Rodríguez-Lumbreras, Luis A; Romero-Durana, Miguel; Díaz-Bueno, Lucía; Fernandez-Recio, Juan; Christoffer, Charles; Terashi, Genki; Shin, Woong-Hee; Aderinwale, Tunde; Maddhuri Venkata Subraman, Sai Raghavendra; Kihara, Daisuke; Kozakov, Dima; Vajda, Sandor; Porter, Kathryn; Padhorny, Dzmitry; Desta, Israel; Beglov, Dmitri; Ignatov, Mikhail; Kotelnikov, Sergey.
Afiliación
  • Lensink MF; University of Lille, CNRS UMR8576 UGSF, Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
  • Brysbaert G; University of Lille, CNRS UMR8576 UGSF, Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
  • Nadzirin N; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
  • Velankar S; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
  • Chaleil RAG; Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK.
  • Gerguri T; Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK.
  • Bates PA; Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK.
  • Laine E; CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), Sorbonne Université, Paris, France.
  • Carbone A; CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), Sorbonne Université, Paris, France.
  • Grudinin S; Institut Universitaire de France (IUF), Paris, France.
  • Kong R; Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France.
  • Liu RR; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
  • Xu XM; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
  • Shi H; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
  • Chang S; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
  • Eisenstein M; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
  • Karczynska A; Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
  • Czaplewski C; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Lubecka E; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Lipska A; Institute of Informatics, Faculty of Mathematics, Physics, and Informatics, University of Gdansk, Gdansk, Poland.
  • Krupa P; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Mozolewska M; Polish Academy of Sciences, Institute of Physics, Warsaw, Poland.
  • Golon L; Polish Academy of Sciences, Institute of Computer Science, Warsaw, Poland.
  • Samsonov S; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Liwo A; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Crivelli S; Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
  • Pagès G; School of Computational Sciences, Korea Institute for Advanced Study, Seoul, South Korea.
  • Karasikov M; Department of Computer Science, UC Davis, Davis, California.
  • Kadukova M; Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France.
  • Yan Y; Department of Computer Science, ETH, Zurich, Switzerland.
  • Huang SY; Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France.
  • Rosell M; Moscow Institute of Physics and Technology, Dolgoprudniy, Russia.
  • Rodríguez-Lumbreras LA; School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Romero-Durana M; School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Díaz-Bueno L; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Fernandez-Recio J; Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain.
  • Christoffer C; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Terashi G; Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain.
  • Shin WH; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Aderinwale T; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Maddhuri Venkata Subraman SR; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Kihara D; Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain.
  • Kozakov D; Instituto de Biología Molecular de Barcelona (IBMB-CSIC), Barcelona, Spain.
  • Vajda S; Department of Computer Science, Purdue University, West Lafayette, Indiana.
  • Porter K; Department of Biological Sciences, Purdue University, West Lafayette, Indiana.
  • Padhorny D; Department of Biological Sciences, Purdue University, West Lafayette, Indiana.
  • Desta I; Department of Computer Science, Purdue University, West Lafayette, Indiana.
  • Beglov D; Department of Computer Science, Purdue University, West Lafayette, Indiana.
  • Ignatov M; Department of Computer Science, Purdue University, West Lafayette, Indiana.
  • Kotelnikov S; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York.
Proteins ; 87(12): 1200-1221, 2019 12.
Article en En | MEDLINE | ID: mdl-31612567
ABSTRACT
We present the results for CAPRI Round 46, the third joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 20 targets including 14 homo-oligomers and 6 heterocomplexes. Eight of the homo-oligomer targets and one heterodimer comprised proteins that could be readily modeled using templates from the Protein Data Bank, often available for the full assembly. The remaining 11 targets comprised 5 homodimers, 3 heterodimers, and two higher-order assemblies. These were more difficult to model, as their prediction mainly involved "ab-initio" docking of subunit models derived from distantly related templates. A total of ~30 CAPRI groups, including 9 automatic servers, submitted on average ~2000 models per target. About 17 groups participated in the CAPRI scoring rounds, offered for most targets, submitting ~170 models per target. The prediction performance, measured by the fraction of models of acceptable quality or higher submitted across all predictors groups, was very good to excellent for the nine easy targets. Poorer performance was achieved by predictors for the 11 difficult targets, with medium and high quality models submitted for only 3 of these targets. A similar performance "gap" was displayed by scorer groups, highlighting yet again the unmet challenge of modeling the conformational changes of the protein components that occur upon binding or that must be accounted for in template-based modeling. Our analysis also indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conformación Proteica / Programas Informáticos / Proteínas / Biología Computacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2019 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conformación Proteica / Programas Informáticos / Proteínas / Biología Computacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2019 Tipo del documento: Article País de afiliación: Francia