AI for science· 2021
Accurate prediction of protein structures and interactions using a three-track neural network
On the reading lists
- #143 in the Top 500 (2026 edition)
- #6 in AI for science (2026 edition)
Why it matters
Introduced accessible three-track protein modeling, enabling widespread structure prediction and subsequent protein design.
Condensed from the expert lists' notes.
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.