AI began mapping how proteins pair up across the cell. Building on structure prediction, models forecast which proteins interact and how. It sketched the machinery of life at unprecedented breadth.
Pairs, not just parts
Scope widened. Beyond single structures, the models predict complexes. Interactions matter.
Structure-based
Foundations helped. Structure prediction underpins the approach. Physics guides pairing.
Cellular machinery
Biology emerges. Maps reveal assemblies that do the cell’s work. Function clarifies.
Screening speed
Discovery accelerates. Candidate interactions are ranked quickly. Experiments focus.
Validation needed
Caution applies. Predictions require lab confirmation. False pairs occur.
Expanding maps
Growth continues. Interaction networks fill in. The atlas grows.
The bottom line
AI models predict which proteins interact and how, extending structure prediction to complexes. They sketch cellular machinery at scale. Predictions still require experimental validation.