Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
24 11 2023
Historique:
medline: 27 11 2023
pubmed: 24 11 2023
entrez: 24 11 2023
Statut: ppublish

Résumé

Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II molecules is crucial for rational development of immunotherapies and vaccines targeting CD4

Identifiants

pubmed: 38000035
doi: 10.1126/sciadv.adj6367
pmc: PMC10672173
doi:

Substances chimiques

HLA-DR Antigens 0
HLA-DP Antigens 0
HLA-DQ Antigens 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadj6367

Subventions

Organisme : NIAID NIH HHS
ID : 75N93019C00001
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA248138
Pays : United States

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Auteurs

Jonas B Nilsson (JB)

Department of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark.

Saghar Kaabinejadian (S)

Pure MHC LLC, Oklahoma City, OK, USA.
Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Hooman Yari (H)

Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Michel G D Kester (MGD)

Department of Hematology, Leiden University Medical Center, Leiden, Netherlands.

Peter van Balen (P)

Department of Hematology, Leiden University Medical Center, Leiden, Netherlands.

William H Hildebrand (WH)

Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Morten Nielsen (M)

Department of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark.

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Classifications MeSH