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Scientists unveil AI that creates never-before-seen molecules to speed up drug discovery
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Fusion42 · 10 July 2026 · Fusion42 review
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.
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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.
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1 source · 10 Jul 2026
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