Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction

Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction

T-cell receptors can recognize foreign peptides bound to major histocompatibility complex (MHC) class-I proteins, and thus trigger the adaptive immune response. Therefore, identifying peptides that can bind to MHC class-I molecules plays a vital role in the design of peptide vaccines. Many computati...

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Bibliographic Details
Main Authors: Ziqi Chen, Martin Renqiang Min, Xia Ning
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Molecular Biosciences
Subjects:
deep learning
prioritization
peptide vaccine design
convolutional neural networks
attention
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.634836/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2021.634836/full

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