TlcMHCpan: A Novel Deep Learning Model for Enhanced Pan-Specific Prediction of Peptide-HLA Binding

The interaction between Human Leukocyte Antigens (HLA) and peptides is key in cellular immunology and crucial for the development of the immune system and peptide-based drug design. Currently, in the field of machine learning for predicting peptide-HLA (pHLA) binding, the mainstream methods involve...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Peng, Xin, Yang, Donghong, Zhou, Yiming, Peng, Shenglan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Amino acids Antigens Benchmarks Binding Data models Datasets Deep learning Encoding Feature extraction Immune system Immunology LSTM Machine learning Neural networks Peptide-HLA binding Peptides Prediction models Predictions Predictive models Self-attention Sequences Transformer Transformers
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!