Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action.

ABSTRACT: A drug exerts its effects typically through a signal transduction cascade, which is non-linear and involves intertwined networks of multiple signaling pathways. Construction of such a signaling pathway network (SPNetwork) can enable identification of novel drug targets and deep understanding of drug action. However, it is challenging to synopsize critical components of these interwoven pathways into one network. To tackle this issue, we developed a novel computational framework, the Drug-specific Signaling Pathway Network (DSPathNet). The DSPathNet amalgamates the prior drug knowledge and drug-induced gene expression via random walk algorithms. Using the drug metformin, we illustrated this framework and obtained one metformin-specific SPNetwork containing 477 nodes and 1,366 edges. To eval

SUBMITTER: Sun J 

PROVIDER: S-EPMC4470683 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature