Project description
AI-based platform to predict phage therapy effectiveness
Successful phage therapies require correct matching of a therapeutic phage to bacterial strain and rely on time-consuming manual in vitro calibrations. The EU-funded in silico bio-evolutio project aims to replace the existing procedures with an in silico process to accelerate the whole process and improve the phage therapy quality. The solution will be enabled by in silico simulations based on an AI platform. The simulations will predict selected phage efficacy against specific bacterial strains, determine the mutations that will increase phage effectiveness, and generate a report explaining the prediction results.
Objective
The success of phage therapies relies on correctly matching a therapeutic phage to bacterial strain. However calibration of therapy recipe may last for years. Presented solution enable to accelerate this by in silico simulations on AI platform for in vitro. It is able to find optimal phage that meets the phenotype imposed by the researcher, especially:
-predict given phage effectiveness against a specific bacteria strain,
-indicate mutations that increase phage effectiveness,
-generate explanations for predictions.
Currently, this process is performed by wet-lab employees (in vitro).
Replacing it with an in silico process will reduce the number 90 out of 100 experiments, significantly accelerating the process and improving phage therapy quality. At the same time, it’s the basis for modern probiotics (for microbiome modulation). At the same time, it will enable dynamically generate personalized therapies for specific patients. It is a novel endeavor in the area of molecular biology.
Fields of science
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-AG - HORIZON Action Grant Budget-BasedCoordinator
15 101 BIALYSTOK
Poland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.