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Dataset Information

Predicting mechanism of action of cellular perturbations with pathway activity signatures.


ABSTRACT:

Motivation

Misregulation of signaling pathway activity is etiologic for many human diseases, and modulating activity of signaling pathways is often the preferred therapeutic strategy. Understanding the mechanism of action (MOA) of bioactive chemicals in terms of targeted signaling pathways is the essential first step in evaluating their therapeutic potential. Changes in signaling pathway activity are often not reflected in changes in expression of pathway genes which makes MOA inferences from transcriptional signatures (TSeses) a difficult problem.

Results

We developed a new computational method for implicating pathway targets of bioactive chemicals and other cellular perturbations by integrated analysis of pathway network topology, the Library of Integrated Network-based Ce

SUBMITTER: Ren Y 

PROVIDER: S-EPMC7751003 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature