ArticleAntimicrobial agents and chemotherapy2012
A whole-cell phenotypic screening platform for identifying methylerythritol phosphate pathway-selective inhibitors as novel antibacterial agents.
Article in Antimicrobial agents and chemotherapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- The mevalonate and methylerythritol phosphate pathways as therapeutic targets in protozoan parasites: from moonlighting enzymes to metabolic plasticity.Cell communication and signaling : CCS · 2026Review
- Exploring the antimicrobial activity of pantothenamides against uropathogenicMicrobiology spectrum · 2025Article
- Potent Inhibition ofACS infectious diseases · 2024Article
- Exploration of potential hit compounds targeting 1-deoxy-d-xylulose 5-phosphate reductoisomerase (IspC) from3 Biotech · 2024Article
- Antibacterial Activity of Allicin-Inspired Disulfide Derivatives against Xanthomonas axonopodis pv. citriInternational journal of molecular sciences · 2022Article
- Brief Overview of Approaches and Challenges in New Antibiotic Development: A Focus On Drug Repurposing.Frontiers in cellular and infection microbiology · 2021Review
- Synthetic biology, combinatorial biosynthesis, and chemo‑enzymatic synthesis of isoprenoids.Journal of industrial microbiology & biotechnology · 2020Review
- Growth medium-dependent antimicrobial activity of early stage MEP pathway inhibitors.PloS one · 2018Article
- Challenges and Hallmarks of Establishing Alkylacetylphosphonates as Probes of Bacterial 1-Deoxy-d-xylulose 5-Phosphate Synthase.ACS infectious diseases · 2017Article
- Exploring bacterial outer membrane barrier to combat bad bugs.Infection and drug resistance · 2017Review
- Development of an image-based screening system for inhibitors of the plastidial MEP pathway and of protein geranylgeranylation.F1000Research · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Isoprenoid biosynthesis is essential for survival of all living organisms. More than 50,000 unique isoprenoids occur naturally, with each constructed from two simple five-carbon precursors: isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP). Two pathways for the biosynthesis of IPP and DMAPP are found in nature. Humans exclusively use the mevalonate (MVA) pathway, while most bacteria, including all Gram-negative and many Gram-positive species, use the unrelated methylerythritol phosphate (MEP) pathway. Here we report the development of a novel, whole-cell phenotypic screening platform to identify compounds that selectively inhibit the MEP pathway. Strains of Salmonella enterica serovar Typhimurium were engineered to have separately inducible MEP (native) and MVA (nonnative) pathways. These strains, RMC26 and CT31-7d, were then used to differentiate MVA pathway- and MEP pathway-specific perturbation. Compounds that inhibit MEP pathway-dependent bacterial growth but leave MVA-dependent growth unaffected represent MEP pathway-selective antibacterials. This screening platform offers three significant results. First, the compound is antibacterial and is therefore cell permeant, enabling access to the intracellular target. Second, the compound inhibits one or more MEP pathway enzymes. Third, the MVA pathway is unaffected, suggesting selectivity for targeting the bacterial versus host pathway. The cell lines also display increased sensitivity to two reported MEP pathway-specific inhibitors, further biasing the platform toward inhibitors selective for the MEP pathway. We demonstrate development of a robust, high-throughput screening platform that combines phenotypic and target-based screening that can identify MEP pathway-selective antibacterials simply by monitoring optical density as the readout for cell growth/inhibition.
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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.