SOURCE-LINKED INTELLIGENCE

An intelligent agent for general-purpose protein engineering

CORDIS · observation · Publication date unknown

pment of custom-tailored, proficient proteins. In this proposal, we will develop an intelligent system capable of efficiently engineering functional proteins tailored to user-defined specifications. Artificial Intelligence (AI) advancements are promoting a fresh wave of enthusiasm across many fields, providing solutions to problems that escape human intuition. Recently, protein language models (pLMs) are showing unprecedented performance in generating novel, efficient proteins. We have trained three advanced pLMs, demonstrating promising preliminary results in experimental settings. In this proposal, we will train an agent that will learn from combined sequence, structural, functional, and dynamic data to perform multiple protein engineering tasks. The agent will iteratively improve from experimental feedback using Reinforcement Learning, and explainable AI will allow us to ‘open the black box’ and understand its decision process. A vital component of this work will be its rigorous experimental validation, progressing through increasingly challenging tasks with biotechnological appl

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recordType

award

status

SIGNED

region

EU

value

1498680

unit

EUR