★
Menu
Home How It's Built Watchlist The Stack
Hardware ChipsCompare Chips Servers & SystemsNetworking MemoryFoundries & Packaging Cooling
Facilities Data CentersPower ProjectsCloud & GPU Compute
Intelligence AI ModelsSoftware AI ProductsBenchmarks Research PapersDatasets Concepts
Ecosystem CompaniesStocks PeopleTimeline TrendsFuture of AI
Learn News Ask the Data AI Agents
About About us Methodology Data & API Disclaimer
Options
DATA & API

Free read-only JSON access to the site's cached data.

Dark mode

Guided View
New to chips, data centers and model jargon? We explain key terms as you browse, in plain English. Same data, with the help built in.

Expert View
You already know the stack. Just the data: clean, fast and compact, with no extra explanations. This is the default view.

Interface language
‹ Back
Home › AI Models › AlphaFold 3

AlphaFold 3

AI Model Science Current

Protein structure to full biomolecular interactions — Nobel-winning lineage.

You're looking at an AI model record: who built it, what it can do, and the hardware and data behind it.

AlphaFold 2 solved the 50-year protein-folding problem and earned Demis Hassabis and John Jumper the 2024 Chemistry Nobel; AlphaFold 3 (May 2024) extends prediction to DNA, RNA, ligands and antibodies using a diffusion module. Its 200M+ structure database is standard equipment in drug discovery — the strongest existing proof of AI as scientific infrastructure.

How this connects to the rest of the stack

This record's links at a glance — click a group to jump to it.

Developed by

Sources

AlphaFold 3 paper (Nature) ↗

Record reviewed as of 2026-01-15 — see Methodology.