<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Woo JH</submitter><funding>Howard Hughes Medical Institute</funding><funding>NHLBI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>NIH HHS</funding><pagination>441-451</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4506491</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>162(2)</volume><pubmed_abstract>Genome-wide identification of the mechanism of action (MoA) of small-molecule compounds characterizing their targets, effectors, and activity modulators represents a highly relevant yet elusive goal, with critical implications for assessment of compound efficacy and toxicity. Current approaches are labor intensive and mostly limited to elucidating high-affinity binding target proteins. We introduce a regulatory network-based approach that elucidates genome-wide MoA proteins based on the assessment of the global dysregulation of their molecular interactions following compound perturbation. Analysis of cellular perturbation profiles identified established MoA proteins for 70% of the tested compounds and elucidated novel proteins that were experimentally validated. Finally, unknown-MoA compound analysis revealed altretamine, an anticancer drug, as an inhibitor of glutathione peroxidase 4 lipid repair activity, which was experimentally confirmed, thus revealing unexpected similarity to the activity of sulfasalazine. This suggests that regulatory network analysis can provide valuable mechanistic insight into the elucidation of small-molecule MoA and compound similarity.</pubmed_abstract><journal>Cell</journal><pubmed_title>Elucidating Compound Mechanism of Action by Network Perturbation Analysis.</pubmed_title><pmcid>PMC4506491</pmcid><funding_grant_id>R01CA161061</funding_grant_id><funding_grant_id>U01 CA168426</funding_grant_id><funding_grant_id>R01 CA097061</funding_grant_id><funding_grant_id>S10 OD012351</funding_grant_id><funding_grant_id>U54 CA121852</funding_grant_id><funding_grant_id>5R01CA097061</funding_grant_id><funding_grant_id>R35 CA209896</funding_grant_id><funding_grant_id>U01 CA164184</funding_grant_id><funding_grant_id>5U54CA121852-08</funding_grant_id><funding_grant_id>5U01CA168426</funding_grant_id><funding_grant_id>1U01CA164184-02</funding_grant_id><funding_grant_id>3U01HL111566-02</funding_grant_id><funding_grant_id>R01 CA161061</funding_grant_id><funding_grant_id>U01 HL111566</funding_grant_id><pubmed_authors>Karan C</pubmed_authors><pubmed_authors>Shimoni Y</pubmed_authors><pubmed_authors>Woo JH</pubmed_authors><pubmed_authors>Nicoletti P</pubmed_authors><pubmed_authors>Stockwell BR</pubmed_authors><pubmed_authors>Iyer A</pubmed_authors><pubmed_authors>Lopez G</pubmed_authors><pubmed_authors>Califano A</pubmed_authors><pubmed_authors>Yang WS</pubmed_authors><pubmed_authors>Rodriguez Martinez M</pubmed_authors><pubmed_authors>Subramaniam P</pubmed_authors><pubmed_authors>Bansal M</pubmed_authors><pubmed_authors>Realubit R</pubmed_authors><pubmed_authors>Mattioli M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Elucidating Compound Mechanism of Action by Network Perturbation Analysis.</name><description>Genome-wide identification of the mechanism of action (MoA) of small-molecule compounds characterizing their targets, effectors, and activity modulators represents a highly relevant yet elusive goal, with critical implications for assessment of compound efficacy and toxicity. Current approaches are labor intensive and mostly limited to elucidating high-affinity binding target proteins. We introduce a regulatory network-based approach that elucidates genome-wide MoA proteins based on the assessment of the global dysregulation of their molecular interactions following compound perturbation. Analysis of cellular perturbation profiles identified established MoA proteins for 70% of the tested compounds and elucidated novel proteins that were experimentally validated. Finally, unknown-MoA compound analysis revealed altretamine, an anticancer drug, as an inhibitor of glutathione peroxidase 4 lipid repair activity, which was experimentally confirmed, thus revealing unexpected similarity to the activity of sulfasalazine. This suggests that regulatory network analysis can provide valuable mechanistic insight into the elucidation of small-molecule MoA and compound similarity.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Jul</publication><modification>2024-11-20T03:22:04.645Z</modification><creation>2019-03-27T01:55:21Z</creation></dates><accession>S-EPMC4506491</accession><cross_references><pubmed>26186195</pubmed><doi>10.1016/j.cell.2015.05.056</doi></cross_references></HashMap>