Model
AlphaFold 3.
Power
—
API cost
by Google DeepMind and Isomorphic Labs
In plain English
A scientific AI model that predicts the three-dimensional structures of proteins and other biological molecules. It helps researchers investigate how molecules may fit together and interact.
Good for
Structural biology, early-stage drug research, studying proteins, and generating scientific hypotheses that can be tested in the laboratory.
Things to be aware of
AlphaFold produces predictions. It does not prove that a molecule behaves that way inside a living system. It can struggle with chemical stereochemistry, molecular movement, and some unusual structures. Scientists still need confidence scores, expert judgement, and experimental evidence.
What Google DeepMind says
“AlphaFold Server predicts how proteins will interact with other molecules throughout cells.”
Seen here: Google DeepMind on AlphaFold · deepmind.google
What everyone else says
Nature’s assessment was blunt: AlphaFold 3 is powerful, but it still needs human help to get the chemistry right. Independent research has found problems with stereochemistry and structures that can change shape. Nature on AlphaFold 3’s chemistry limitations · Research on changing protein conformations · nature.com
- Predicts
- Biomolecular structures and interactions
- Public database
- More than 200 million protein predictions
- Run it yourself
- Yes, under academic-use terms