CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets—application to peptide–MHC class II binding prediction

SUMMARY: The ability to unveil binding patterns in peptide sets has important applications in several biomedical areas, including the development of vaccines. We present an open-source tool, CNN-PepPred, that uses convolutional neural networks to discover such patterns, along with its application to...

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Detalles Bibliográficos
Autores principales: Junet, Valentin, Daura, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652105/
https://www.ncbi.nlm.nih.gov/pubmed/34601583
http://dx.doi.org/10.1093/bioinformatics/btab687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652105/
https://www.ncbi.nlm.nih.gov/pubmed/34601583
http://dx.doi.org/10.1093/bioinformatics/btab687

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