LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules.

ABSTRACT:

Background

Cross-species analysis of protein-protein interaction (PPI) networks provides an effective means of detecting conserved interaction patterns. Identifying such conserved substructures between PPI networks of different species increases our understanding of the principles deriving evolution of cellular organizations and their functions in a system level. In recent years, network alignment techniques have been applied to genome-scale PPI networks to predict evolutionary conserved modules. Although a wide variety of network alignment algorithms have been introduced, developing a scalable local network alignment algorithm with high accuracy is still challenging.

Results

We present a novel pairwise local network alignment algorithm, called LePrimAlign, to predict conser

SUBMITTER: Maskey S 

PROVIDER: S-EPMC6929407 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature