Wire · founder news, decoded · opportunities
Scientists unveil AI that creates never-before-seen molecules to speed up drug discovery
Researchers at Rovira i Virgili University in Spain have developed CoCoGraph, an AI system using diffusion models to generate chemically valid molecules at scale, achieving 40% human expert deception rates and outperforming competing tools on two-thirds of physicochemical property tests. The breakthrough could accelerate drug discovery and materials science by systematically exploring the vast chemical space of 10^60 possible molecules.
This Wire brief sits within Fusion42's coverage of Digital Health. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.
The Wire takeaway
If you're building drug discovery software or screening tools, your moat just shrank: generative chemistry is now good enough that humans can't tell AI molecules from real ones 40% of the time, and it runs on less compute than alternatives. Your next customer won't need you to find molecules—they'll need you to validate, synthesise, or optimise what an AI generates.
Read the full story at futura-sciences.com →
Topics: Digital Health · ai-drug-discovery · generative-molecules · computational-chemistry · healthtech-ai · diffusion-models