An Experimental Shape Matching Approach for Protein Docking

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dc.contributor.authorFernandes, Franciscoen_US
dc.contributor.authorFerreira, Alfredoen_US
dc.contributor.editorA. Ferreira and A. Giachetti and D. Giorgien_US
dc.date.accessioned2016-05-04T16:04:58Z
dc.date.available2016-05-04T16:04:58Z
dc.date.issued2016en_US
dc.description.abstractProteins play a vital role in biological processes, with their function being largely determined by their structure. It is important to know what a protein binds, where it binds, how it binds, and what is its final conformation. Several methodologies have been applied to solve this complex protein-protein docking problem, but the number of degrees of freedom renders this a very slow and computationally heavy challenge. To handle this problem, we propose a multi-level space partition approach to describe the three-dimensional shape of the protein. By combining two proteins in the same data structure we are able to easily detect the shape-complementary regions. Moreover, by directly integrating bio-energetic information, we can drive the algorithm by both parameters and provide a fast and efficient way to overcome some of the limitations of previous approaches.en_US
dc.description.sectionheadersFull Papersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20161083en_US
dc.identifier.isbn978-3-03868-004-8en_US
dc.identifier.issn1997-0471en_US
dc.identifier.pages21-25en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20161083en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.5 [Computer Graphics]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectCurveen_US
dc.subjectsurfaceen_US
dc.subjectsoliden_US
dc.subjectand object representationsen_US
dc.titleAn Experimental Shape Matching Approach for Protein Dockingen_US
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