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Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction

Abstract Background Computational scanning of peptide candidates that bind to a specific major histocompatibility complex (MHC) can speed up the peptide-based vaccine development process and therefore various methods are being actively developed. Recently, machine-learning-based methods have generat...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Youngmahn Han, Dongsup Kim
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2017-12-01
Schriftenreihe:BMC Bioinformatics
Schlagworte:
T cell epitope prediction
Peptide-based vaccine development
Peptide-MHC class I binding prediction
Deep learning
Convolutional neural network
Online-Zugang:http://link.springer.com/article/10.1186/s12859-017-1997-x
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