Data-driven biological network alignment that uses topological, sequence, and functional information.

ABSTRACT:

Background

Network alignment (NA) can transfer functional knowledge between species' conserved biological network regions. Traditional NA assumes that it is topological similarity (isomorphic-like matching) between network regions that corresponds to the regions' functional relatedness. However, we recently found that functionally unrelated proteins are as topologically similar as functionally related proteins. So, we redefined NA as a data-driven method called TARA, which learns from network and protein functional data what kind of topological relatedness (rather than similarity) between proteins corresponds to their functional relatedness. TARA used topological information (within each network) but not sequence information (between proteins across networks). Yet, TARA yielded hig

SUBMITTER: Gu S 

PROVIDER: S-EPMC7847157 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature