Prediction of protein-protein interactions by combining structure and sequence conservation in protein interfaces
Author(s) -
Ali Selim Aytuna,
Attila Gürsoy,
Özlem Keskin
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti443
Subject(s) - computer science , protein–protein interaction , in silico , sequence (biology) , protein data bank , protein structure database , protein structure , computational biology , data mining , database , sequence database , biology , genetics , biochemistry , gene
Elucidation of the full network of protein-protein interactions is crucial for understanding of the principles of biological systems and processes. Thus, there is a need for in silico methods for predicting interactions. We present a novel algorithm for automated prediction of protein-protein interactions that employs a unique bottom-up approach combining structure and sequence conservation in protein interfaces.
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