z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom