An Experimental Shape Matching Approach for Protein Docking

Loading...
Thumbnail Image
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
} }
Citation
Collections