DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction
Abstract Human leukocyte antigen (HLA) is closely involved in regulating the human immune system. Despite great advance in detecting classical HLA Class I binders, there are few methods or toolkits for recognizing non-classical HLA Class I binders. To fill in this gap, we have developed a deep learn...
Main Authors: | Guohua Huang, Xingyu Tang, Peijie Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-11-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-023-09796-2 |
Similar Items
-
Expression of the Non-classical HLA-E, -F, -G Molecules in the Tumour Microenvironment
by: Ormandjieva Anastasia
Published: (2023-08-01) -
The complex HLA-E-nonapeptide in Behçet disease
by: Ángel Luís Castaño-Núñez, et al.
Published: (2023-08-01) -
HLA-B and HLA-C Differ in Their Nanoscale Organization at Cell Surfaces
by: Philippa R. Kennedy, et al.
Published: (2019-01-01) -
An Approach for Pronunciation Classification of Classical Arabic Phonemes Using Deep Learning
by: Amna Asif, et al.
Published: (2021-12-01) -
possible association of HLA class-1 molecules with rheumatoid arthritis in Iraqi patients
by: batool A. Al-Haidary, et al.
Published: (2005-10-01)