An Experimental Shape Matching Approach for Protein Docking
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{10.2312:3dor.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}
}