AI Agents & Applications · beginner · concept 233 of 311 · Updated Nov 4, 2026
AI for Science
AI for science means using machine learning to speed up discovery: predicting protein shapes, screening molecules, steering simulations or reading the literature. The landmark is AlphaFold, which predicts a protein's 3D structure from its sequence. The 2024 Nobel Prize in Chemistry went half to David Baker for protein design and half jointly to Demis Hassabis and John Jumper for AlphaFold. Its database gives researchers free predicted structures.
Top AI contributors on this
- Demis HassabisGoogle DeepMind (chair) / Isomorphic Labs
- Daphne Kollerinsitro
- Alexandr ZhavoronkovInsilico Medicine
- Pushmeet KohliGoogle DeepMind / Google Cloud
- Kyunghyun ChoOrtet / New York University
Key terms
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Where you meet it in the real world
Protein structure and drug target work, materials and battery screening, fusion plasma control, climate simulation, astronomy data triage
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