DeepMind’s AI predicts structures for a vast trove of proteins

Ewen Callaway

Nature, 2021, vol. 595, issue 7869, 635-635

Abstract: AlphaFold neural network produced a ‘totally transformative’ database of more than 350,000 structures from Homo sapiens and 20 model organisms.

Keywords: Proteomics; Structural biology; Machine learning (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-021-02025-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:595:y:2021:i:7869:d:10.1038_d41586-021-02025-4

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-021-02025-4

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().