in silico bio-evolutio - novel AI paradigm for molecular biology

This project aims to accelerate phage therapy by using an AI platform for in silico simulations to optimize phage selection, reducing experimental time and enhancing personalized treatment effectiveness.

Subsidie
€ 1.692.596
2023

Projectdetails

Introduction

The success of phage therapies relies on correctly matching a therapeutic phage to a bacterial strain. However, calibration of the therapy recipe may last for years.

Proposed Solution

The presented solution enables acceleration of this process through in silico simulations on an AI platform for in vitro applications. It is capable of:

  • Predicting given phage effectiveness against a specific bacteria strain.
  • Indicating mutations that increase phage effectiveness.
  • Generating explanations for predictions.

Current Process

Currently, this process is performed by wet-lab employees (in vitro). Replacing it with an in silico process will reduce the number of experiments by 90 out of 100, significantly accelerating the process and improving phage therapy quality.

Broader Implications

At the same time, this approach serves as the basis for modern probiotics aimed at microbiome modulation. Additionally, it will enable the dynamic generation of personalized therapies for specific patients. This represents a novel endeavor in the area of molecular biology.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.692.596
Totale projectbegroting€ 2.417.995

Tijdlijn

Startdatum1-1-2023
Einddatum31-5-2025
Subsidiejaar2023

Partners & Locaties

Projectpartners

  • CAMINO SCIENCE SP. Z O.O.penvoerder

Land(en)

Poland

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