Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution

L Jiang, H Yu, J Li, J Tang, Y Guo… - Briefings in …, 2021 - academic.oup.com
accurate and efficient MHC class I binder prediction in … model for predicting binding affinity
on mouse MHC I molecules. … , NetMHC-3.0 [35] establishes a high-performance ANN web

A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction

M Wang, L Kurgan, M Li - Briefings in Bioinformatics, 2023 - academic.oup.com
… as the accuracy of the methods under specific prediction scenarios… The human MHC is called
the human leukocyte antigen (HLA… the affinity classifications against them, ie we use affinity

[HTML][HTML] Predicting MHC I restricted T cell epitopes in mice with NAP-CNB, a novel online tool

C Wert-Carvajal, R Sánchez-García, JR Macías… - Scientific reports, 2021 - nature.com
… the accuracy of T-cell epitope binding affinity predictions in mice… However, current pipelines
are human-centered and, thus, … to the resource-efficient and accessibility requirements of pre-…

High-throughput prediction of MHC class I and II neoantigens with MHCnuggets

XM Shao, R Bhattacharya, J Huang… - Cancer immunology …, 2020 - AACR
… To accurately assess the performance of MHCnuggets on a … (5) and evaluated the predictions
provided by NetMHC 3.0 and … for MHC class II allele–specific prediction on binding affinity

MHCRoBERTa: pan-specific peptide–MHC class I binding prediction through transfer learning with label-agnostic protein sequences

F Wang, H Wang, L Wang, H Lu, S Qiu… - Briefings in …, 2022 - academic.oup.com
… and semantics necessary to perform the prediction task well. All … accurately predict the
peptide–MHC class I binding affinityhuman MHC class I transmembrane proteins containing HLA-…

[HTML][HTML] Ranking-based convolutional neural network models for peptide-MHC class I binding prediction

Z Chen, MR Min, X Ning - Frontiers in molecular biosciences, 2021 - frontiersin.org
… the rankings of peptide-MHC pairs instead of predicting the exact binding affinity values.
Our experimental results … HLA-A and HLA-B are two groups of the human leukocyte antigen (…

RPEMHC: improved prediction of MHC–peptide binding affinity by a deep learning approach based on residue–residue pair encoding

X Wang, T Wu, Y Jiang, T Chen, D Pan, Z Jin… - …, 2024 - academic.oup.com
MHC class II prediction method including all three human … specific peptide– MHC class I
binding prediction through transfer … model for accurate MHC-II peptide binding affinity prediction. …

[HTML][HTML] DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information

X Yang, L Zhao, F Wei, J Li - BMC bioinformatics, 2021 - Springer
… association constituted by human leukocyte antigen (HLA)-… for predicting binding affinity
and immunogenic category, we … % (124) were predicted more accurately by our model. Similar …

Combining three-dimensional modeling with artificial intelligence to increase specificity and precision in peptide–mhc binding predictions

MP Aranha, YSM Jewel, RA Beckman… - The Journal of …, 2020 - journals.aai.org
… The reliable prediction of the affinity of candidate peptides for … chose human alleles
HLA-A*02-01, HLA-B*44-03, and HLA-… flexible docking of nonapeptides to the mouse MHC H-2D …

MHCherryPan: a novel pan-specific model for binding affinity prediction of class I HLA-peptide

X Xie, Y Han, K Zhang - International Journal of Data Mining …, 2020 - inderscienceonline.com
… Abstract: The Human Leukocyte Antigen (HLA) system or complex plays an irreplaceable …
in regulating the humans’ immune system. Accurate prediction of peptide binding with HLA can …