Determining the mechanisms of lipid-targeting antibiotics in intact bacteria
This project aims to elucidate the mechanisms of lipid-targeting antibiotics using advanced imaging and NMR techniques to combat antimicrobial resistance effectively.
Projectdetails
Introduction
Antimicrobial resistance is a major threat to global health. To combat this threat, new antibiotics with novel binding modes are urgently needed. Ideal candidates could be lipid-targeting antibiotics (LT-antibiotics) that target special lipids that only exist in bacterial, but not in human cell membranes. These drugs kill refractory pathogens without detectable resistance. This has generated huge interest.
Challenges in Research
So far, the molecular mechanisms of LT-antibiotics have proven elusive due to technical challenges:
- Structures of small drug-lipid complexes in membranes cannot be solved by traditional methods.
- LT-antibiotics need to oligomerize to become active.
- Binding modes are strongly affected by cell membrane profiles.
In consequence, it has been impossible to visualize native binding modes, and an entire class of potent antibiotics remains poorly understood.
Recent Discoveries
In pioneering studies on the drug teixobactin, my lab recently presented the first quantitative insights into the mechanisms of LT-antibiotics in cell membranes. Strikingly, we discovered that teixobactin uses a novel "double attack" type of antimicrobial action, in which teixobactin forms large oligomers that both block the peptidoglycan synthesis and damage bacterial membranes. These findings raise new questions about LT-antibiotics.
Proposed Research
I propose to establish a comprehensive understanding of LT-antibiotics by elucidating their native binding modes in intact bacteria and at several length scales (nm to µm). To this end, I will develop solid-state NMR methods, isotope-labeling strategies, and super-resolution microscopy setups.
Goals and Objectives
With these tools, I will elucidate the mechanisms of some of the most promising antibiotics of our time:
- Novel drugs from unculturable bacteria.
- Daptomycin, a front-line drug whose mechanism has been chased by two generations of scientists.
This research will outline groundbreaking strategies for determining antibiotic mechanisms and, in so doing, address a pressing global health challenge.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.000.000 |
Totale projectbegroting | € 2.000.000 |
Tijdlijn
Startdatum | 1-6-2022 |
Einddatum | 31-5-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSITEIT UTRECHTpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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Deep learning analysis of imaging and metabolomic data to accelerate antibiotic discovery against antimicrobial resistanceAI4AMR aims to revolutionize antibiotic discovery by using advanced AI and multi-dimensional data analysis to identify novel antibiotics and their mechanisms of action against antimicrobial resistance. | ERC Synergy ... | € 10.968.734 | 2025 | Details |
Shaping the bacterial envelope: Interplay between the components and impact on antibiotic resistanceShape-En-Resist aims to uncover the interactions and coordination mechanisms between Gram-negative bacterial envelope components to understand their role in antibiotic resistance and bacterial physiology. | ERC Starting... | € 1.499.894 | 2025 | Details |
Antibiotic Lead OptimizationThis project aims to optimize and evaluate a novel DnaN inhibitor, WAM-N17, to develop new antibiotics targeting multidrug-resistant bacteria through compound synthesis and in vivo studies. | ERC Proof of... | € 150.000 | 2023 | Details |
Breaking down barriers against antimicrobials: elucidating a cross-kingdom novel lipid transport mechanism
This project aims to characterize DedA proteins to uncover their role in lipid transport and cell envelope biogenesis in Gram-negative bacteria, addressing antimicrobial resistance mechanisms.
Breaking resistance of pathogenic bacteria by chemical dysregulation
The project aims to combat antibiotic-resistant bacteria by developing innovative small molecules that dysregulate bacterial physiology through a three-tiered chemical strategy.
Deep learning analysis of imaging and metabolomic data to accelerate antibiotic discovery against antimicrobial resistance
AI4AMR aims to revolutionize antibiotic discovery by using advanced AI and multi-dimensional data analysis to identify novel antibiotics and their mechanisms of action against antimicrobial resistance.
Shaping the bacterial envelope: Interplay between the components and impact on antibiotic resistance
Shape-En-Resist aims to uncover the interactions and coordination mechanisms between Gram-negative bacterial envelope components to understand their role in antibiotic resistance and bacterial physiology.
Antibiotic Lead Optimization
This project aims to optimize and evaluate a novel DnaN inhibitor, WAM-N17, to develop new antibiotics targeting multidrug-resistant bacteria through compound synthesis and in vivo studies.
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