Cited by 351Bioinformatics and Genomic NetworksComputational Drug Discovery MethodsGene Regulatory Network Analysis

Elucidating Compound Mechanism of Action by Network Perturbation Analysis

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Woo, Jung Hoon, Shimoni, Yishai, Yang, Wan Seok, Subramaniam, Prem, Iyer, Archana, Nicoletti, Paola, Rodríguez Martínez, María, López, Gonzalo +6 more·2015·Cell

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.

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Crossref · 10.1016/j.cell.2015.05.056

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References 59 · Cited by 351

Authors
Woo, J. H., Shimoni, Y., Yang, W. S., Subramaniam, P., Iyer, A., Nicoletti, P., Rodríguez Martínez, M., López, G., Mattioli, M., Realubit, R., Karan, C., Stockwell, B. R., Bansal, M., & Califano, A.
Affiliations
  • Columbia University (US)
  • Italian Institute of Technology (IT)
  • Howard Hughes Medical Institute (US)
  • Herbert Irving Comprehensive Cancer Center (US)
Corresponding author
  • Bansal, Mukesh
  • Califano, Andrea
Venue
Cell
Publisher
Elsevier BV
Published
2015-07
Volume
162
Issue
2
Pages
441-451
ISSN
0092-8674 (ISSN-L)
OpenAlex
W1535350845
Cited by
351
References
59
Citations by year
2026: 18 · 2025: 21 · 2024: 41 · 2023: 47 · 2022: 36 · 2021: 46 · 2020: 29 · 2019: 32 · 2018: 26 · 2017: 22 · 2016: 26 · 2015: 6
FWCI
11.57
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Institutes of Health (1s10od012351-01)
  • National Heart, Lung, and Blood Institute (U01HL111566)
  • National Cancer Institute (U54CA121852, R35CA209896, U01CA164184, R01CA097061, U01CA168426, R01CA161061)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
mechanism of action, small molecules, protein-protein interaction network, altretamine, GPX4, sulfasalazine, molecular similarity, drug target identification, drug toxicity
MeSH terms
Algorithms, Antineoplastic Agents, Epistasis, Genetic, Neoplasms, Small Molecule Libraries, Genome-Wide Association Study, Molecular Targeted Therapy

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