Making Next-Generation Antibiotics that Outpace Bacterial Evolution
Company is active
Event Year: 2024
Company is active
Event Year: 2024
Evolvere BioSciences is pioneering the development of next-generation antibiotics designed to overcome the growing challenge of bacterial resistance. Their innovative approach utilizes computational models to create antibiotics that not only precisely target pathogenic bacteria without harming beneficial microbes or human cells but also proactively outpace bacterial evolution.
The increasing ineffectiveness of current antibiotics due to bacterial resistance poses a significant global health threat, with drug-resistant bacteria already causing more deaths than malaria and AIDS. This issue is projected to worsen exponentially, demanding new solutions.
Evolvere BioSciences addresses this challenge by leveraging co-evolutionary protein-protein interaction datasets and artificial intelligence. This allows them to forecast bacterial mutations and develop 'future-proof' antibiotics that anticipate and counteract resistance before it emerges. This transformative strategy aims to reduce the frequency with which new antibiotics are needed and extend the effective lifespan of treatments. The team comprises experienced biochemists and evolutionary biologists from the University of Oxford.
Evolvere BioSciences is pioneering the development of next-generation antibiotics designed to overcome the growing challenge of bacterial resistance. Their innovative approach utilizes computational models to create antibiotics that not only precisely target pathogenic bacteria without harming beneficial microbes or human cells but also proactively outpace bacterial evolution.
The increasing ineffectiveness of current antibiotics due to bacterial resistance poses a significant global health threat, with drug-resistant bacteria already causing more deaths than malaria and AIDS. This issue is projected to worsen exponentially, demanding new solutions.
Evolvere BioSciences addresses this challenge by leveraging co-evolutionary protein-protein interaction datasets and artificial intelligence. This allows them to forecast bacterial mutations and develop 'future-proof' antibiotics that anticipate and counteract resistance before it emerges. This transformative strategy aims to reduce the frequency with which new antibiotics are needed and extend the effective lifespan of treatments. The team comprises experienced biochemists and evolutionary biologists from the University of Oxford.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
Healthcare
Healthcare
Healthcare -> Therapeutics
Healthcare -> Therapeutics
Team size: 3
Hiring: No
Team size: 3
Hiring: No