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, its 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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences microbiology bacteriology
- natural sciences biological sciences microbiology virology
- natural sciences biological sciences genetics mutation
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2022-ACCELERATOR-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
15 101 Biaystok
Poland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.