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Exploiting three kinds of interface propensities to identify protein binding sites

Authors :
Liu, Bin
Wang, Xiaolong
Lin, Lei
Dong, Qiwen
Wang, Xuan
Source :
Computational Biology & Chemistry. Aug2009, Vol. 33 Issue 4, p303-311. 9p.
Publication Year :
2009

Abstract

Abstract: Predicting the binding sites between two interacting proteins provides important clues to the function of a protein. In this study, we present a building block of proteins called order profiles to use the evolutionary information of the protein sequence frequency profiles and apply this building block to produce a class of propensities called order profile interface propensities. For comparisons, we revisit the usage of residue interface propensities and binary profile interface propensities for protein binding site prediction. Each kind of propensities combined with sequence profiles and accessible surface areas are inputted into SVM. When tested on four types of complexes (hetero-permanent complexes, hetero-transient complexes, homo-permanent complexes and homo-transient complexes), experimental results show that the order profile interface propensities are better than residue interface propensities and binary profile interface propensities. Therefore, order profile is a suitable profile-level building block of the protein sequences and can be widely used in many tasks of computational biology, such as the sequence alignment, the prediction of domain boundary, the designation of knowledge-based potentials and the protein remote homology detection. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
14769271
Volume :
33
Issue :
4
Database :
Academic Search Index
Journal :
Computational Biology & Chemistry
Publication Type :
Academic Journal
Accession number :
43869860
Full Text :
https://doi.org/10.1016/j.compbiolchem.2009.07.001