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

      research-article
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      Proteins
      John Wiley and Sons Inc.
      CAPRI, CASP, oligomer state, blind prediction, protein interaction, protein docking

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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 The Authors Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.

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          Most cited references30

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          Protein homology detection by HMM-HMM comparison.

          Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on this approach. The method (HHsearch) is benchmarked together with BLAST, PSI-BLAST, HMMER and the profile-profile comparison tools PROF_SIM and COMPASS, in an all-against-all comparison of a database of 3691 protein domains from SCOP 1.63 with pairwise sequence identities below 20%.Sensitivity: When the predicted secondary structure is included in the HMMs, HHsearch is able to detect between 2.7 and 4.2 times more homologs than PSI-BLAST or HMMER and between 1.44 and 1.9 times more than COMPASS or PROF_SIM for a rate of false positives of 10%. Approximately half of the improvement over the profile-profile comparison methods is attributable to the use of profile HMMs in place of simple profiles. Alignment quality: Higher sensitivity is mirrored by an increased alignment quality. HHsearch produced 1.2, 1.7 and 3.3 times more good alignments ('balanced' score >0.3) than the next best method (COMPASS), and 1.6, 2.9 and 9.4 times more than PSI-BLAST, at the family, superfamily and fold level, respectively.Speed: HHsearch scans a query of 200 residues against 3691 domains in 33 s on an AMD64 2GHz PC. This is 10 times faster than PROF_SIM and 17 times faster than COMPASS.
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            The cell as a collection of protein machines: preparing the next generation of molecular biologists.

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              Structural symmetry and protein function.

              The majority of soluble and membrane-bound proteins in modern cells are symmetrical oligomeric complexes with two or more subunits. The evolutionary selection of symmetrical oligomeric complexes is driven by functional, genetic, and physicochemical needs. Large proteins are selected for specific morphological functions, such as formation of rings, containers, and filaments, and for cooperative functions, such as allosteric regulation and multivalent binding. Large proteins are also more stable against denaturation and have a reduced surface area exposed to solvent when compared with many individual, smaller proteins. Large proteins are constructed as oligomers for reasons of error control in synthesis, coding efficiency, and regulation of assembly. Symmetrical oligomers are favored because of stability and finite control of assembly. Several functions limit symmetry, such as interaction with DNA or membranes, and directional motion. Symmetry is broken or modified in many forms: quasisymmetry, in which identical subunits adopt similar but different conformations; pleomorphism, in which identical subunits form different complexes; pseudosymmetry, in which different molecules form approximately symmetrical complexes; and symmetry mismatch, in which oligomers of different symmetries interact along their respective symmetry axes. Asymmetry is also observed at several levels. Nearly all complexes show local asymmetry at the level of side chain conformation. Several complexes have reciprocating mechanisms in which the complex is asymmetric, but, over time, all subunits cycle through the same set of conformations. Global asymmetry is only rarely observed. Evolution of oligomeric complexes may favor the formation of dimers over complexes with higher cyclic symmetry, through a mechanism of prepositioned pairs of interacting residues. However, examples have been found for all of the crystallographic point groups, demonstrating that functional need can drive the evolution of any symmetry.
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                Author and article information

                Contributors
                marc.lensink@univ-lille1.fr
                shoshana.wodak@gmail.com
                Journal
                Proteins
                Proteins
                10.1002/(ISSN)1097-0134
                PROT
                Proteins
                John Wiley and Sons Inc. (Hoboken )
                0887-3585
                1097-0134
                01 June 2016
                September 2016
                : 84
                : Suppl Suppl 1 , Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction ( doiID: 10.1002/prot.v84.S1 )
                : 323-348
                Affiliations
                [ 1 ]University Lille CNRS UMR8576 UGSF Lille F‐59000France
                [ 2 ] European Molecular Biology LaboratoryEuropean Bioinformatics Institute (EMBL‐EBI) Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SDUnited Kingdom
                [ 3 ] Genome CenterUniversity of California Davis California 95616
                [ 4 ]Research Support Computing, University of Missouri Bioinformatics Consortium, and Department of Computer Science, University of Missouri Columbia Missouri 65211
                [ 5 ] Department of Bioengineering and Therapeutic SciencesUniversity of California San Francisco San Francisco California 94158
                [ 6 ] Department of Pharmaceutical ChemistryUniversity of California San Francisco San Francisco California 94158
                [ 7 ] California Institute for Quantitative Biosciences (QB3)University of California San Francisco San Francisco California 94158
                [ 8 ]GN7 of the National Institute for Bioinformatics (INB) and Biocomputing Unit, National Center of Biotechnology (CSIC) Madrid 28049Spain
                [ 9 ]Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University Aberystwyth SY233FGUnited Kingdom
                [ 10 ] Department of Computer ScienceUniversity of Texas at Austin Austin Texas 78712
                [ 11 ]Institute for Computational Engineering and Sciences, University of Texas at Austin Austin Texas 78712
                [ 12 ] Department of ChemistryUniversity of Texas at Austin Austin Texas 78712
                [ 13 ]LJK, University Grenoble Alpes, CNRS Grenoble 38000France
                [ 14 ]INRIA Grenoble 38000France
                [ 15 ]Moscow Institute of Physics and Technology DolgoprudniyRussia
                [ 16 ] Department of ChemistrySeoul National University Seoul 151‐747Republic of Korea
                [ 17 ] Department of Physics and Institute of Molecular BiophysicsFlorida State University Tallahassee Florida 32306USA
                [ 18 ]INRIA Nancy—Grand Est Villers‐lès‐Nancy 54600France
                [ 19 ]CNRS, LORIA Campus Scientifique, BP 239 Vandœuvre‐lès‐Nancy 54506France
                [ 20 ] Department of Computer Science and EngineeringUniversity of Mauritius ReduitMauritius
                [ 21 ]Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory London WC2A 3LYUnited Kingdom
                [ 22 ]G‐INCPM, Weizmann Institute of Science Rehovot 7610001Israel
                [ 23 ] Department of Chemical Research SupportWeizmann Institute of Science Rehovot 7610001Israel
                [ 24 ]Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch 301 University Boulevard Galveston Texas 77555‐0857
                [ 25 ]Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School Worcester Massachusetts 01605
                [ 26 ]Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris‐Saclay, CEA‐Saclay Gif‐sur‐Yvette 91191France
                [ 27 ]Bijvoet Center for Biomolecular Research, Faculty of Science – Chemistry, Utrecht University Padualaan 8 Utrecht 3584 CHThe Netherlands
                [ 28 ]Dalton Cardiovascular Research Center, University of Missouri Columbia Missouri 65211
                [ 29 ] Department of Physics and AstronomyUniversity of Missouri Columbia Missouri 65211
                [ 30 ] Department of Computer ScienceUniversity of Missouri Columbia Missouri 65211
                [ 31 ]Informatics Institute, University of Missouri Columbia Missouri 65211
                [ 32 ] Department of BiochemistryUniversity of Missouri Columbia Missouri 65211
                [ 33 ]Toyota Technological Institute at Chicago 6045 S Kenwood Avenue Chicago Illinois 60637
                [ 34 ] Department of Biological SciencesPurdue University West Lafayette Indiana 47907
                [ 35 ]Bioinformatics and Computational Biosciences Branch, Rocky Mountain Laboratories, National Institutes of Health Hamilton Montano 59840
                [ 36 ] Department of Computer SciencePurdue University West Lafayette INUSA 47907
                [ 37 ] Molecular and Cellular Modeling GroupHeidelberg Institute for Theoretical Studies (HITS) HeidelbergGermany
                [ 38 ]Center for Molecular Biology (ZMBH), DKFZ‐ZMBH Alliance, Heidelberg University HeidelbergGermany
                [ 39 ]Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University HeidelbergGermany
                [ 40 ]Center for Computational Biology, The University of Kansas Lawrence Kansas 66047
                [ 41 ] Department of Molecular BiosciencesThe University of Kansas Lawrence Kansas 66047
                [ 42 ]Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST) Koto‐KuJapan
                [ 43 ] Graduate School of Frontier Sciencesthe University of Tokyo KashiwaJapan
                [ 44 ]Joint BSC‐CRG‐IRB Research Program in Computational Biology, Barcelona Supercomputing Center C/Jordi Girona 29 Barcelona 08034Spain
                [ 45 ]Center for in‐Silico Protein Science, Korea Institute for Advanced Study Seoul 130‐722 Korea
                [ 46 ]Center for Advanced Computation, Korea Institute for Advanced Study Seoul 130‐722 Korea
                [ 47 ] School of Computational ScienceKorea Institute for Advanced Study Seoul 130‐722 Korea
                [ 48 ] Department of Biomedical EngineeringBoston University Boston Massachusetts
                [ 49 ] Department of ChemistryBoston University Boston Massachusetts
                [ 50 ]Institute of Biological Diversity, International Pacific Institute of Indiana Bloomington Indiana 47401
                [ 51 ]Drosophila Genetic Resource Center, Kyoto Institute of Technology Ukyo‐Ku 616‐8354Japan
                [ 52 ]International University of Health and Welfare Hospital (IUHW Hospital) Asushiobara‐City, Tochigi Prefecture 329‐2763Japan
                [ 53 ] Department of Chemical and Biomolecular EngineeringJohns Hopkins University Baltimore Maryland 21218
                [ 54 ]Program in Molecular Biophysics, Johns Hopkins University Baltimore Maryland 21218
                [ 55 ]King Abdullah University of Science and Technology Saudi Arabia
                [ 56 ]University of Naples “Parthenope” NapoliItaly
                [ 57 ]J. Craig Venter Institute 9704 Medical Center Drive Rockville Maryland 20850
                [ 58 ] Departments of Biochemistry and Molecular GeneticsUniversity of Toronto Toronto OntarioCanada
                [ 59 ]VIB Structural Biology Research Center VUB Pleinlaan 2 Brussels 1050Belgium
                [ 60 ]Present address: Tyler M. Borrman current address is Institute for Bioscience and Biotechnology Research, University of Maryland Rockville MD 20850
                [ 61 ]Present address: Yang Shen current address is Center for Bioinformatics and Genomic Systems Engineering, Department of Electrical and Computer Engineering, Texas a&M University College Station TX 77843
                [ 62 ]Present address: Kenichiro Imai, Toshiyuki Oda, and Kentaro Tomii current address is Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST) Koto‐KuJapan
                [ 63 ]Present address: Kazunori Yamada current address is Group of Electrical Engineering, Communication Engineering, Electronic Engineering, and Information Engineering, Tohoku University SendaiJapan
                [ 64 ]Present address: Iain H. Moal current address is European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL‐EBI), Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SDUnited Kingdom
                [ 65 ]Present address: Daisuke Kuroda current address is School of Pharmacy, Showa University Shinagawa‐Ku Tokyo 142‐8555Japan
                Author notes
                [*] [* ]Correspondence to: Marc F. Lensink; University Lille, CNRS UMR8576 UGSF, Lille, F‐59000, France. E‐mail: marc.lensink@ 123456univ-lille1.fr or Shoshana J. Wodak; VIB Structural Biology Research Center, VUB, 1050 Brussels, Belgium. E‐mail: shoshana.wodak@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-3957-9470
                http://orcid.org/0000-0001-7369-1322
                http://orcid.org/0000-0003-4728-1973
                http://orcid.org/0000-0001-6380-2324
                Article
                PROT25007
                10.1002/prot.25007
                5030136
                27122118
                bb156f9b-d3fc-4118-929f-4e9d916f4627
                © 2016 The Authors Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 May 2015
                : 30 December 2015
                : 02 February 2016
                Page count
                Figures: 8, Tables: 5, Pages: 26, Words: 15787
                Funding
                Funded by: NIH
                Award ID: R01 GM083960
                Award ID: P41 GM109824
                Award ID: GM058187
                Award ID: R01 GM061867
                Award ID: R01 GM093147
                Award ID: R01 GM078221
                Award ID: R01GM109980
                Award ID: R01GM094123
                Award ID: R01 GM097528
                Award ID: R01GM074255
                Funded by: Biotechnology and Biological Sciences Research Council
                Award ID: BBS/E/W/10962A01D
                Funded by: Research Councils UK Academic Fellowship program
                Funded by: Cancer Research UK
                Funded by: Klaus Tschira Foundation
                Funded by: Platform Project for Supporting in Drug Discovery and Life Science Research
                Funded by: Japan Agency for Medical Research and Development
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR‐11‐MONU‐0006
                Funded by: National Research Foundation of Korea (NRF)
                Award ID: NRF‐2013R1A2A1A09012229
                Award ID: 2008‐0061987
                Funded by: BIP
                Award ID: ANR‐IAB‐2011‐16‐BIP:BIP
                Funded by: H2020 Marie Sklodowska‐Curie Individual Fellowship
                Award ID: 659025‐BAP
                Funded by: Netherlands Organization for Scientific Research Veni
                Award ID: 722.014.005
                Funded by: National Science Foundation
                Award ID: CAREER Award DBI0953839
                Award ID: CCF‐1546278
                Award ID: NSF IIS1319551
                Award ID: NSF DBI1262189
                Award ID: NSF IOS1127027
                Award ID: NSF DBI1262621
                Award ID: NSF DBI 1458509
                Award ID: NSF AF 1527292
                Funded by: EU
                Award ID: FP7 604102 (HBP)
                Funded by: BMBF
                Award ID: 0315749 (VLN)
                Funded by: Spanish Ministry of Economy and Competitiveness
                Award ID: BIO2013‐48213‐R
                Funded by: European Union
                Award ID: FP7/2007‐2013 REA PIEF‐GA‐2012‐327899
                Funded by: National Institute of Supercomputing and Networking
                Award ID: KSC‐2014‐C3‐01
                Funded by: US‐Israel BSF
                Award ID: 2009418
                Funded by: Regione Campania
                Award ID: LR5‐AF2008
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                prot25007
                September 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.4 mode:remove_FC converted:07.10.2016

                Biochemistry
                capri,casp,oligomer state,blind prediction,protein interaction,protein docking
                Biochemistry
                capri, casp, oligomer state, blind prediction, protein interaction, protein docking

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