ArticleChemical science2024
Discovery of antibacterial manganese(i) tricarbonyl complexes through combinatorial chemistry.
Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 34 citations in OpenAlex.
- Metal-Based Photosensitizers as Emerging Antibacterial Agents for Infected Wound Healing.ChemMedChem · 2026Review
- Exploring chemical space for iridium(iii) complexes: a direct-to-biology (D2B) approach to identifying anticancer and antibacterial agents.Chemical science · 2026Article
- Pyrazolyl-Pyridine Ruthenium Complexes: A New Metallic Line of Defense Against Acinetobacter baumannii.Chembiochem : a European journal of chemical biology · 2026Article
- High-throughput triazole-based combinatorial click chemistry for the synthesis and identification of functional metal complexes.Nature communications · 2025Article
- Molecules to medicine: advances in metabolomics for natural product drug discovery.Current opinion in biotechnology · 2025Review
- Boosting Antibiotic Efficacy of Azole Drugs against Methicillin-Resistant Staphylococcus Aureus by Coordination to Rhenium Carbonyl Complexes.Chembiochem : a European journal of chemical biology · 2025Article
- Metal-Based Approaches for the Fight against Antimicrobial Resistance: Mechanisms, Opportunities, and Challenges.Journal of the American Chemical Society · 2025Review
- Discovery of Phototoxic Metal Complexes with Antibacterial Properties via a Combinatorial Approach.Inorganic chemistry · 2025Article
- Antibacterial activity of Au(I), Pt(II), and Ir(III) biotin conjugates prepared by the iClick reaction: influence of the metal coordination sphere on the biological activity.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2024Article
- Unveiling theFrontiers in microbiology · 2024Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The continuous rise of antimicrobial resistance is a serious threat to human health and already causing hundreds of thousands of deaths each year. While natural products and synthetic organic small molecules have provided the majority of our current antibiotic arsenal, they are falling short in providing new drugs with novel modes of action able to treat multidrug resistant bacteria. Metal complexes have recently shown promising results as antimicrobial agents, but the number of studied compounds is still vanishingly small, making it difficult to identify promising compound classes or elucidate structure-activity relationships. To accelerate the pace of discovery we have applied a combinatorial chemistry approach to the synthesis of metalloantibiotics. Utilizing robust Schiff-base chemistry and combining 7 picolinaldehydes with 10 aniline derivatives, and 6 axial ligands, either imidazole/pyridine-based or solvent, we have prepared a library of 420 novel manganese tricarbonyl complexes. All compounds were evaluated for their antibacterial properties and 10 lead compounds were identified, re-synthesised and fully characterised. All 10 compounds showed high and broad activity against Gram-positive bacteria. The best manganese complex displayed low toxicity against human cells with a therapeutic index of >100. In initial mode of action studies, we show that it targets the bacterial membrane without inducing pore formation or depolarisation. Instead, it releases its carbon monoxide ligands around the membrane and inhibits the bacterial respiratory chain. This work demonstrates that large numbers of metal complexes can be accessed through combinatorial synthesis and evaluated for their antibacterial potential, allowing for the rapid identification of promising metalloantibiotic lead compounds.
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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.