DeepLigand: accurate prediction of MHC class I ligands using peptide embedding

MOTIVATION: The computational modeling of peptide display by class I major histocompatibility complexes (MHCs) is essential for peptide-based therapeutics design. Existing computational methods for peptide-display focus on modeling the peptide-MHC-binding affinity. However, such models are not able...

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Detalles Bibliográficos
Autores principales: Zeng, Haoyang, Gifford, David K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612839/
https://www.ncbi.nlm.nih.gov/pubmed/31510651
http://dx.doi.org/10.1093/bioinformatics/btz330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612839/
https://www.ncbi.nlm.nih.gov/pubmed/31510651
http://dx.doi.org/10.1093/bioinformatics/btz330

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