Article

Designing AI-programmable therapeutics with the EDEN family of foundation models

2026-01-12

Abstract excerpt

The ability to interpret, modify, and design DNA has driven many of the most significant advances in modern medicine, from diagnostics, biologics, and vaccines to cell and gene therapies. However, the inherent complexity of biological systems means that most modern medicines are still engineered using bespoke, labor-intensive processes. To address the need for a generalisable and programmable approach to therapeut...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 433f3514-d0f8-5ba0-980a-03c64eef81e2
DOI: 10.64898/2026.01.12.699009

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Designing AI-programmable therapeutics with the EDEN family of foundation modelsDOI 10.64898/2026.01.12.699009Read

Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequencesSemantic proximity Read

Genome modelling and design across all domains of life with Evo 2.Semantic proximity Read

Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARsSemantic proximity Read

OPED: an optimal prime editing guide RNA designer based on deep learning and transfer learningSemantic proximity Read

Genome modeling and design across all domains of life with Evo 2Semantic proximity Read

Sequence modeling and design from molecular to genome scale with Evo.Semantic proximity Read

Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round DiversificationSemantic proximity Read

Generative machine learning of ADAR substrates for precise and efficient RNA editingSemantic proximity Read

Programming Biomolecular Interactions with All-Atom Generative ModelSemantic proximity Read

Rapid and Reproducible Multimodal Biological Foundation Model Development with AIDO.ModelGeneratorSemantic proximity Read

Rapid customization of base editors via machine learning-powered combinatorial mutagenesis.Semantic proximity Read

Breaking Through Biology's Data Wall: Expanding the Known Tree of Life by Over 10x using a Global Biodiscovery PipelineSemantic proximity Read