Open AccessStructure prediction algorithm for protein complexes based on gene ontology
Author(s) -
Anna Hadarovich,
Ivan Anishchenko,
Petras J. Kundrotas,
Ilya A. Vakser,
Alexander V. Tuzikov
Publication year - 2020
Publication title -
doklady nacionalʹnoj akademii nauk belarusi
Language(s) - English
Resource type - Journals
eISSN - 2524-2431
pISSN - 1561-8323
DOI - 10.29235/1561-8323-2020-64-2-150-158
Subject(s) - gene ontology , template , computer science , measure (data warehouse) , similarity measure , ontology , structural similarity , similarity (geometry) , protein structure prediction , data mining , computational biology , algorithm , protein structure , gene , bioinformatics , artificial intelligence , chemistry , biology , biochemistry , image (mathematics) , gene expression , philosophy , epistemology , programming language
We propose an algorithm for comparing protein-protein complexes based on their functional properties in terms of Gene Ontology. The proposed measure of a functional similarity between complexes is combined with a structural measure to find templates for the template-based docking of protein complexes. We present the results on the modeling of protein complexes based on this algorithm.