Cargando…
CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
The Major Histocompatibility Complex (MHC) binds to the derived peptides from pathogens to present them to killer T cells on the cell surface. Developing computational methods for accurate, fast, and explainable peptide-MHC binding prediction can facilitate immunotherapies and vaccine development. V...
Autores principales: | Kalemati, Mahmood, Darvishi, Saeid, Koohi, Somayyeh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162658/ https://www.ncbi.nlm.nih.gov/pubmed/37147498 http://dx.doi.org/10.1038/s42003-023-04867-2 |
Ejemplares similares
-
DA-CapsNet: dual attention mechanism capsule network
por: Huang, Wenkai, et al.
Publicado: (2020) -
Efficient-CapsNet: capsule network with self-attention routing
por: Mazzia, Vittorio, et al.
Publicado: (2021) -
iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks
por: Nguyen, Binh P., et al.
Publicado: (2019) -
CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
por: Du, Wei, et al.
Publicado: (2020) -
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
por: Venkatesh, Gopalakrishnan, et al.
Publicado: (2020)