Community-Reviewed Biological Network Models for Toxicology and Drug Discovery Applications.

ABSTRACT: Biological network models offer a framework for understanding disease by describing the relationships between the mechanisms involved in the regulation of biological processes. Crowdsourcing can efficiently gather feedback from a wide audience with varying expertise. In the Network Verification Challenge, scientists verified and enhanced a set of 46 biological networks relevant to lung and chronic obstructive pulmonary disease. The networks were built using Biological Expression Language and contain detailed information for each node and edge, including supporting evidence from the literature. Network scoring of public transcriptomics data inferred perturbation of a subset of mechanisms and networks that matched the measured outcomes. These results, based on a computable network approach,

SUBMITTER: sbv IMPROVER project team and challenge best performers 

PROVIDER: S-EPMC4944831 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature