Low-resolution structural modeling of protein interactome
dc.contributor.author | Vakser, Ilya A. | |
dc.date.accessioned | 2017-06-08T20:04:33Z | |
dc.date.available | 2017-06-08T20:04:33Z | |
dc.date.issued | 2013-04 | |
dc.identifier.citation | Vakser, I. A. (2013). Low-resolution structural modeling of protein interactome. Current Opinion in Structural Biology, 23(2), 198–205. http://doi.org/10.1016/j.sbi.2012.12.003 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/24447 | |
dc.description.abstract | Structural characterization of protein–protein interactions across the broad spectrum of scales is key to our understanding of life at the molecular level. Low-resolution approach to protein interactions is needed for modeling large interaction networks, given the significant level of uncertainties in large biomolecular systems and the high-throughput nature of the task. Since only a fraction of protein structures in interactome are determined experimentally, protein docking approaches are increasingly focusing on modeled proteins. Current rapid advancement of template-based modeling of protein–protein complexes is following a long standing trend in structure prediction of individual proteins. Protein–protein templates are already available for almost all interactions of structurally characterized proteins, and about one third of such templates are likely correct. | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License 4.0 (CC BY-NC-ND 4.0), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.title | Low-resolution structural modeling of protein interactome | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Vakser, Ilya A. | |
kusw.kudepartment | Molecular Biosciences | en_US |
dc.identifier.doi | 10.1016/j.sbi.2012.12.003 | en_US |
kusw.oaversion | Scholarly/refereed, author accepted manuscript | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | PMC3676717 | en_US |
dc.rights.accessrights | openAccess |
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Except where otherwise noted, this item's license is described as: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License 4.0 (CC BY-NC-ND 4.0), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.