Optimizing a global alignment of protein interaction networks
Author(s) -
Leonid Chindelevitch,
Cheng-Yu Ma,
Chung-Shou Liao,
Bonnie Berger
Publication year - 2013
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/btt486
Subject(s) - computer science , robustness (evolution) , pairwise comparison , heuristic , multiple sequence alignment , protein interaction networks , biological network , software , network topology , sequence alignment , data mining , theoretical computer science , machine learning , artificial intelligence , bioinformatics , protein–protein interaction , biology , biochemistry , genetics , gene , peptide sequence , programming language , operating system
The global alignment of protein interaction networks is a widely studied problem. It is an important first step in understanding the relationship between the proteins in different species and identifying functional orthologs. Furthermore, it can provide useful insights into the species' evolution.
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