infrastructureScore 45/100Research
AlphaFold database reaching 1 million predictions with 500,000 researchers accessing it; massive global adoption signal for biology/drug discovery infrastructure
Demis Hassabis· Google DeepMind· AI· 2026-07-18· about DeepMind / Google, EMBL-EBI (partnership) (GOOGL)
“we had a great collaboration with them and then we basically released all this data for free and unrestricted access for any use industrial or academic... the other thing we did do and i want to touch this on this at the end is think about the safety and ethics of this and um we consulted with you know over 30 experts... we have 500 000 researchers have used the database we think that's almost every biologist in the world has probably looked up their proteins they're interested in 190 countries 1.5 million structures viewed and already over 3 000 citations... now we have a million predictions in the database today”
Why it matters
DeepMind's AlphaFold database has achieved near-universal adoption among global biologists (500k researchers, 190 countries), creating a critical infrastructure dependency for drug discovery and biological research.
Investment implication
This creates significant lock-in around Google/DeepMind infrastructure. Downstream beneficiaries include biotech companies relying on AlphaFold for drug discovery, CROs, and biotech informatics platforms integrating this data. EMBL-EBI as host is now a critical research infrastructure node.