Structuring discovery in complex biology

Identifying new therapeutic targets across biological context

What we do

Therapeutic response often depends on structured variation across cell systems, perturbations, and molecular context.

Eidona Bio is building a multi-context discovery platform designed to preserve biological structure while identifying tractable therapeutic entry points and novel mechanisms earlier in the discovery process.

The platform generates multiple discovery programs by identifying new therapeutic targets in disease systems where biological context shapes therapeutic response.

Our approach

Our approach integrates biological profiling, representation-based analysis, and covalent fragment chemistry into a unified discovery workflow designed to resolve intervention strategies in complex disease systems.

Multi-context profiling

We measure biological responses across structured experimental contexts to capture disease-relevant variation rather than reducing discovery to isolated assay systems.

Representation-based analysis

Machine-learning-based representations organize high-dimensional biological measurements into interpretable phenotype structure that supports earlier mechanism resolution across experimental contexts.

Covalent fragment chemistry

Covalent fragments expand accessible binding space and enable earlier identification of intervention strategies than classical screening approaches alone.

Founders

Etienne Dumoulin

Machine learning and computational drug discovery

BioUnfold · LinkedIn

Erik Martin

Chemoproteomics and mechanism biology

Google Scholar · LinkedIn

Contact

contact@eidona.bio