Cited by 160Computational Drug Discovery MethodsMicrobial Natural Products and BiosynthesisBacterial Genetics and Biotechnology

Systems-level antimicrobial drug and drug synergy discovery

Roemer, Terry, Boone, Charles·2013·Nature Chemical Biology

Abstract

Here, we review the 'target-centric' genomic strategy to antimicrobial discovery and share our perspective on identification, validation and prioritization of potential antimicrobial drug targets in the context of emerging chemical biology, genomics and phenotypic screening strategies. We propose that coupling the dual processes of antimicrobial small-molecule screening and target identification in a whole-cell context is essential to empirically annotate 'druggable' targets and advance early stage antimicrobial discovery. We also advocate a systems-level approach to annotating synthetic-lethal genetic interactions comprehensively within yeast and bacteria models. The resulting genetic interaction networks provide a landscape to rationally predict and exploit drug synergy between cognate inhibitors. We posit that synergistic combination agents provide an important and largely unexploited strategy to 'repurpose' existing chemical space and simultaneously address issues of potency, spectrum, toxicity and drug resistance in early stages of antimicrobial drug discovery.

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Crossref · 10.1038/nchembio.1205

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Authors
Roemer, T., & Boone, C.
Affiliations
  • Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
  • University of Toronto (CA)
Corresponding author
  • Roemer, Terry
  • Boone, Charles
Venue
Nature Chemical Biology
Published
2013-03-18
Volume
9
Issue
4
Pages
222-231
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2085719025
Cited by
159
References
126
Citations by year
2026: 1 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 13 · 2021: 8 · 2020: 15 · 2019: 9 · 2018: 10 · 2017: 18 · 2016: 19 · 2015: 19 · 2014: 16 · 2013: 7 · 2012: 1
FWCI
22.28
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Chemical Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Canadian Institutes of Health Research (MOP-57830)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Health Sciences › Medicine › Pharmacology › Microbial Natural Products and Biosynthesis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
Keywords
antimicrobial drug discovery, drug synergy, synthetic lethality, genetic interaction networks, drug resistance, yeast model, druggable targets
MeSH terms
Anti-Bacterial Agents, Antifungal Agents, Bacteria, Drug Synergism, Genotype, Humans, Phenotype, Yeasts, Genomics, Small Molecule Libraries, Validation Studies as Topic, Drug Discovery, High-Throughput Screening Assays, Molecular Targeted Therapy

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