NM
Generative Biology

Antibiotic Adjuvant Design for RecA

A project on using predictive and generative models to search for RecA inhibitors that could make antibiotics work better.

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FeaturedResearch blurb

The expanded project page frames HELIX as a closed-loop discovery system: score selectivity, generate candidate scaffolds, and prioritize compounds for experimental follow-up.

The design loop connects molecular representation learning, property prediction, and candidate generation into a workflow that can be extended as experimental evidence arrives.

The public project link is preserved for readers who want to inspect the original HELIX site.