Improving antibody language models with native pairing.

Journal

Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765

Informations de publication

Date de publication:
10 May 2024
Historique:
received: 09 11 2023
revised: 25 01 2024
accepted: 08 03 2024
medline: 27 5 2024
pubmed: 27 5 2024
entrez: 27 5 2024
Statut: epublish

Résumé

Existing antibody language models are limited by their use of unpaired antibody sequence data. A recently published dataset of ∼1.6 × 10

Identifiants

DOI: 10.1016/j.patter.2024.100967 PMID: 38800360 PMC: PMC11117052
pubmed: 38800360
doi: 10.1016/j.patter.2024.100967
pii: S2666-3899(24)00075-8
pmc: PMC11117052
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100967

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

B.B. is an equity shareholder in Infinimmune and a member of their Scientific Advisory Board.

Auteurs

Sarah M Burbach (SM)

Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Center for Viral Systems Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Multi-Omics Vaccine Evaluation Consortium, The Scripps Research Institute, La Jolla, CA 92037, USA.

Bryan Briney (B)

Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Center for Viral Systems Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Multi-Omics Vaccine Evaluation Consortium, The Scripps Research Institute, La Jolla, CA 92037, USA.
Scripps Consortium for HIV/AIDS Vaccine Development, The Scripps Research Institute, La Jolla, CA 92037, USA.
San Diego Center for AIDS Research, The Scripps Research Institute, La Jolla, CA 92037, USA.

Classifications MeSH