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Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.
Lensink, Marc F; Velankar, Sameer; Kryshtafovych, Andriy; Huang, Shen-You; Schneidman-Duhovny, Dina; Sali, Andrej; Segura, Joan; Fernandez-Fuentes, Narcis; Viswanath, Shruthi; Elber, Ron; Grudinin, Sergei; Popov, Petr; Neveu, Emilie; Lee, Hasup; Baek, Minkyung; Park, Sangwoo; Heo, Lim; Rie Lee, Gyu; Seok, Chaok; Qin, Sanbo; Zhou, Huan-Xiang; Ritchie, David W; Maigret, Bernard; Devignes, Marie-Dominique; Ghoorah, Anisah; Torchala, Mieczyslaw; Chaleil, Raphaël A G; Bates, Paul A; Ben-Zeev, Efrat; Eisenstein, Miriam; Negi, Surendra S; Weng, Zhiping; Vreven, Thom; Pierce, Brian G; Borrman, Tyler M; Yu, Jinchao; Ochsenbein, Françoise; Guerois, Raphaël; Vangone, Anna; Rodrigues, João P G L M; van Zundert, Gydo; Nellen, Mehdi; Xue, Li; Karaca, Ezgi; Melquiond, Adrien S J; Visscher, Koen; Kastritis, Panagiotis L; Bonvin, Alexandre M J J; Xu, Xianjin; Qiu, Liming.
Afiliação
  • Lensink MF; University Lille, CNRS UMR8576 UGSF, Lille, F-59000, France. marc.lensink@univ-lille1.fr.
  • Velankar S; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.
  • Kryshtafovych A; Genome Center, University of California, Davis, California, 95616.
  • Huang SY; Research Support Computing, University of Missouri Bioinformatics Consortium, and Department of Computer Science, University of Missouri, Columbia, Missouri, 65211.
  • Schneidman-Duhovny D; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, 94158.
  • Sali A; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158.
  • Segura J; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, 94158.
  • Fernandez-Fuentes N; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158.
  • Viswanath S; California Institute for Quantitative Biosciences (QB3), University of California San Francisco, San Francisco, California, 94158.
  • Elber R; GN7 of the National Institute for Bioinformatics (INB) and Biocomputing Unit, National Center of Biotechnology (CSIC), Madrid, 28049, Spain.
  • Grudinin S; Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, SY233FG, United Kingdom.
  • Popov P; Department of Computer Science, University of Texas at Austin, Austin, Texas, 78712.
  • Neveu E; Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas, 78712.
  • Lee H; Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas, 78712.
  • Baek M; Department of Chemistry, University of Texas at Austin, Austin, Texas, 78712.
  • Park S; LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France.
  • Heo L; INRIA, Grenoble, 38000, France.
  • Rie Lee G; LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France.
  • Seok C; INRIA, Grenoble, 38000, France.
  • Qin S; Moscow Institute of Physics and Technology, Dolgoprudniy, Russia.
  • Zhou HX; LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France.
  • Ritchie DW; INRIA, Grenoble, 38000, France.
  • Maigret B; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Devignes MD; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Ghoorah A; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Torchala M; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Chaleil RA; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Bates PA; Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.
  • Ben-Zeev E; Department of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, 32306, USA.
  • Eisenstein M; Department of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, 32306, USA.
  • Negi SS; INRIA Nancy-Grand Est, Villers-lès-Nancy, 54600, France.
  • Weng Z; CNRS, LORIA, Campus Scientifique, BP 239, Vandœuvre-lès-Nancy, 54506, France.
  • Vreven T; CNRS, LORIA, Campus Scientifique, BP 239, Vandœuvre-lès-Nancy, 54506, France.
  • Pierce BG; Department of Computer Science and Engineering, University of Mauritius, Reduit, Mauritius.
  • Borrman TM; Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom.
  • Yu J; Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom.
  • Ochsenbein F; Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom.
  • Guerois R; G-INCPM, Weizmann Institute of Science, Rehovot, 7610001, Israel.
  • Vangone A; Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, 7610001, Israel.
  • Rodrigues JP; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas, 77555-0857.
  • van Zundert G; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605.
  • Nellen M; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605.
  • Xue L; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605.
  • Karaca E; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605.
  • Melquiond AS; Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France.
  • Visscher K; Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France.
  • Kastritis PL; Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France.
  • Bonvin AM; Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
  • Xu X; Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
  • Qiu L; Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
Proteins ; 84 Suppl 1: 323-48, 2016 09.
Article em En | MEDLINE | ID: mdl-27122118
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Modelos Estatísticos / Biologia Computacional / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Modelos Estatísticos / Biologia Computacional / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França