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    An Experimental Shape Matching Approach for Protein Docking

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    Date
    2016
    Author
    Fernandes, Francisco
    Ferreira, Alfredo
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    Abstract
    Proteins 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.
    BibTeX
    @inproceedings {3dor.20161083,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {A. Ferreira and A. Giachetti and D. Giorgi},
    title = {{An Experimental Shape Matching Approach for Protein Docking}},
    author = {Fernandes, Francisco and Ferreira, Alfredo},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {1997-0471},
    ISBN = {978-3-03868-004-8},
    DOI = {10.2312/3dor.20161083}
    }
    URI
    http://dx.doi.org/10.2312/3dor.20161083
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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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