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dc.contributor.authorLensink, Marc F.
dc.contributor.authorVreven, Thom
dc.contributor.authorVangaveti, Sweta
dc.contributor.authorBorrman, Tyler M.
dc.contributor.authorWeng, Zhiping
dc.contributor.authorWodak, Shoshana J.
dc.date2022-08-11T08:07:59.000
dc.date.accessioned2022-08-23T15:38:07Z
dc.date.available2022-08-23T15:38:07Z
dc.date.issued2019-12-01
dc.date.submitted2019-11-25
dc.identifier.citation<p>Proteins. 2019 Dec;87(12):1200-1221. doi: 10.1002/prot.25838. Epub 2019 Oct 25. <a href="https://doi.org/10.1002/prot.25838">Link to article on publisher's site</a></p>
dc.identifier.issn0887-3585 (Linking)
dc.identifier.doi10.1002/prot.25838
dc.identifier.pmid31612567
dc.identifier.urihttp://hdl.handle.net/20.500.14038/25868
dc.description<p>Full author list omitted for brevity. For the full list of authors, see article.</p>
dc.description.abstractWe 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.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=31612567&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1002/prot.25838
dc.subjectCAPRI
dc.subjectCASP
dc.subjectblind prediction
dc.subjectdocking
dc.subjectoligomeric state
dc.subjectprotein assemblies
dc.subjectprotein complexes
dc.subjectprotein-protein interaction
dc.subjecttemplate-based modeling
dc.subjectAmino Acids, Peptides, and Proteins
dc.subjectBiochemistry, Biophysics, and Structural Biology
dc.subjectBioinformatics
dc.subjectComputational Biology
dc.subjectIntegrative Biology
dc.subjectSystems Biology
dc.titleBlind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment
dc.typeJournal Article
dc.source.journaltitleProteins
dc.source.volume87
dc.source.issue12
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/bioinformatics_pubs/160
dc.identifier.contextkey15863123
html.description.abstract<p>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.</p>
dc.identifier.submissionpathbioinformatics_pubs/160
dc.contributor.departmentProgram in Bioinformatics and Integrative Biology
dc.source.pages1200-1221


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