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...

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Бібліографічні деталі
Автори:	Youngmahn Han, Dongsup Kim
Формат:	Artigo
Мова:	Inglês
Опубліковано:	BMC 2017-12-01
Серія:	BMC Bioinformatics
Предмети:	T cell epitope prediction Peptide-based vaccine development Peptide-MHC class I binding prediction Deep learning Convolutional neural network
Онлайн доступ:	http://link.springer.com/article/10.1186/s12859-017-1997-x
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Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction

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