Identifying proteins controlling key disease signaling pathways.

ABSTRACT:

Motivation

Several types of studies, including genome-wide association studies and RNA interference screens, strive to link genes to diseases. Although these approaches have had some success, genetic variants are often only present in a small subset of the population, and screens are noisy with low overlap between experiments in different labs. Neither provides a mechanistic model explaining how identified genes impact the disease of interest or the dynamics of the pathways those genes regulate. Such mechanistic models could be used to accurately predict downstream effects of knocking down pathway members and allow comprehensive exploration of the effects of targeting pairs or higher-order combinations of genes.

Results

We developed methods to model the activation of signali

SUBMITTER: Gitter A 

PROVIDER: S-EPMC3694658 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature