ArticleNature chemical biology2016
A synthetic lethal approach for compound and target identification in Staphylococcus aureus.
Article in Nature chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 81 citations in OpenAlex.
- Native mass spectrometry reveals DltA catalysis, DltC loading, and inhibition in the d-alanylation pathway.RSC advances · 2026Article
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- SpbR controls lipoteichoic acid length by directly inhibiting signal peptidase SpsB inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- D-alanylation of lipoteichoic acids inhibitor provides anti-virulence and anti-resistance effects against methicillin-resistantAntimicrobial agents and chemotherapy · 2025Article
- Acyltransferases that Modify Cell Surface Polymers Across the Membrane.Biochemistry · 2025Review
- Mechanisms of host adaptation by bacterial pathogens.FEMS microbiology reviews · 2024Review
- Structural insights into the transporting and catalyzing mechanism of DltB in LTA D-alanylation.Nature communications · 2024Article
- Systematic analysis of drug combinations against Gram-positive bacteria.Nature microbiology · 2023Article
- From Environmental Toxicants to Antibacterial Agents: BPA Analogues Selectively Inhibit the Growth of Gram-Positive Bacteria by Disturbing Biosynthesis of the Cell Wall.Environment & health (Washington, D.C.) · 2023Article
- Mechanism of D-alanine transfer to teichoic acids shows how bacteria acylate cell envelope polymers.Nature microbiology · 2023Article
- Combining Signal Peptidase and Lipoprotein Processing Inhibitors Overcomes Ayr Resistance in Staphylococcus aureus.Antimicrobial agents and chemotherapy · 2023Article
- Growth Arrest of Staphylococcus aureus Induces Daptomycin Tolerance via Cell Wall Remodelling.mBio · 2023Article
- Construction of high-density transposon mutant library of Staphylococcus aureus using bacteriophage ϕ11.Journal of microbiology (Seoul, Korea) · 2022Article
- Computational methods, databases and tools for synthetic lethality prediction.Briefings in bioinformatics · 2022Review
- Toward Optimization of a Rabbit Model of Staphylococcus aureus (USA300) Skin and Soft Tissue Infection.Microbiology spectrum · 2022Article
- Antibacterial activities and action mode of anti-hyperlipidemic lomitapide against Staphylococcus aureus.BMC microbiology · 2022Article
- Rapid Inhibitor Discovery by Exploiting Synthetic Lethality.Journal of the American Chemical Society · 2022Article
- Breaking down the cell wall: Still an attractive antibacterial strategy.Frontiers in microbiology · 2022Review
- Systematic Assessment of Accessibility to the Surface ofACS chemical biology · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The majority of bacterial proteins are dispensable for growth in the laboratory but nevertheless have important physiological roles. There are no systematic approaches to identify cell-permeable small-molecule inhibitors of these proteins. We demonstrate a strategy to identify such inhibitors that exploits synthetic lethal relationships both for small-molecule discovery and for target identification. Applying this strategy in Staphylococcus aureus, we have identified a compound that inhibits DltB, a component of the teichoic acid D-alanylation machinery that has been implicated in virulence. This D-alanylation inhibitor sensitizes S. aureus to aminoglycosides and cationic peptides and is lethal in combination with a wall teichoic acid inhibitor. We conclude that DltB is a druggable target in the D-alanylation pathway. More broadly, the work described demonstrates a systematic method to identify biologically active inhibitors of major bacterial processes that can be adapted to numerous organisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.