A language model beats alphafold2 on orphans

Nat Biotechnol. 2022 Nov;40(11):1576-1577. doi: 10.1038/s41587-022-01466-0.

Authors

Jennifer M Michaud¹, Ali Madani², James S Fraser³

Affiliations

¹ Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
² Profluent Bio, Oakland, CA, USA.
³ Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. jfraser@fraserlab.com.

Abstract

Protein structure prediction with a language model improves accuracy for orphan and designed proteins.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Child, Orphaned*
Humans
Language

Grants and funding

R01 GM123159/GM/NIGMS NIH HHS/United States