Hydrophobicity identifies false positives and false negatives in peptide-MHC binding

Major Histocompability Complex (MHC) Class I molecules allow cells to present foreign and endogenous peptides to T-Cells so that cells infected by pathogens can be identified and killed. Neural networks tools such as NetMHC-4.0 and NetMHCpan-4.1 are used to predict whether peptides will bind to vari...

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Principais autores:	Arnav Solanki, Marc Riedel, James Cornette, Julia Udell, George Vasmatzis
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2022-11-01
Serija:	Frontiers in Oncology
Teme:	MHC class I peptide hydrophobicity machine learning neural networks
Online dostop:	https://www.frontiersin.org/articles/10.3389/fonc.2022.1034810/full
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