Project Details
The Intelligent Design Assistant for Enzyme Discovery and Biosynthetic Pathway Optimization (IDeA) project is developing a scalable, autonomous AI agentic framework that serves as both a transformative scientific tool and a foundational driver for the DOE Data Lakehouse, relying on integrated data scaling from genes to proteins, function, and the environment.
IDeA, led by Argonne National Laboratory, will pair Argonne’s agentic AI R&D with computational tools and experimental data from ORNL’s enzyme engineering R&D. The project brings together an interdisciplinary team of researchers from both laboratories, encompassing computational biology, genome science, mathematical sciences, and AI and machine learning to address enzyme discovery, design, and optimization as a prototype application for AI-based advanced reasoning techniques.
While biological systems have evolved extraordinary selectivity, current approaches for biosystems design for biotechnology applications rely on time-intensive trial-and-error experimentation, particularly given pathway complexity and novel catalytic activities in vast, unexplored sequence diversity. Even though modern AI approaches show great promise in protein design and engineering tasks, fragmentation of biological data across siloed DOE databases prevents AI from reaching its transformative potential.
The IDeA project addresses this challenge by developing an AI-powered Intelligent Design Assistant that integrates DOE's unique computational and data assets through the Office of Science Biological and Environmental Research program’s Data Lakehouse, while demonstrating key capabilities in engineering enzymes to address DOE missions. It will also provide generalizable building blocks for agentic systems that can then be extended to other biological reasoning applications.
IDeA will establish the first BER-centered autonomous agentic system functioning as an AI co-scientist, orchestrating complex workflows spanning enzyme discovery, annotation, and design using federated Data Lakehouse architecture. This approach anticipates reducing discovery timelines from years to months while serving as a generalizable platform across BER applications.
Accelerating Discovery Science
The IDeA project is part of the Genesis Mission—DOE’s bold new endeavor to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security, and drive energy innovation. IDeA is supported by the DOE Biological and Environmental Research program.
