Machine Learning Methods for Predicting HLA-Peptide Binding Activity
As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs) have important functions to present antigen peptides onto T-cell receptors for immunological recognition and responses. Interpreting and predicting HLA-peptide binding are important to study T-cell epitopes, immune...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2015-01-01
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Series: | Bioinformatics and Biology Insights |
Online Access: | https://doi.org/10.4137/BBI.S29466 |
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author | Heng Luo Hao Ye Hui Wen Ng Lemming Shi Weida Tong Donna L. Mendrick Huixiao Hong |
author_facet | Heng Luo Hao Ye Hui Wen Ng Lemming Shi Weida Tong Donna L. Mendrick Huixiao Hong |
author_sort | Heng Luo |
collection | DOAJ |
description | As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs) have important functions to present antigen peptides onto T-cell receptors for immunological recognition and responses. Interpreting and predicting HLA-peptide binding are important to study T-cell epitopes, immune reactions, and the mechanisms of adverse drug reactions. We review different types of machine learning methods and tools that have been used for HLA-peptide binding prediction. We also summarize the descriptors based on which the HLA-peptide binding prediction models have been constructed and discuss the limitation and challenges of the current methods. Lastly, we give a future perspective on the HLA-peptide binding prediction method based on network analysis. |
first_indexed | 2024-12-21T17:24:27Z |
format | Article |
id | doaj.art-1d39c884c61a46d985e80c88b3cbb916 |
institution | Directory Open Access Journal |
issn | 1177-9322 |
language | English |
last_indexed | 2024-12-21T17:24:27Z |
publishDate | 2015-01-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Bioinformatics and Biology Insights |
spelling | doaj.art-1d39c884c61a46d985e80c88b3cbb9162022-12-21T18:56:05ZengSAGE PublishingBioinformatics and Biology Insights1177-93222015-01-019s310.4137/BBI.S29466Machine Learning Methods for Predicting HLA-Peptide Binding ActivityHeng Luo0Hao Ye1Hui Wen Ng2Lemming Shi3Weida Tong4Donna L. Mendrick5Huixiao Hong6University of Arkansas at Little Rock/ University of Arkansas for Medical Sciences Bioinformatics Graduate Program, Little Rock, AR, USA.National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, USA.National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, USA.Center for Pharmacogenomics, School of Pharmacy, Fudan University, Shanghai, China.National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, USA.National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, USA.National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, USA.As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs) have important functions to present antigen peptides onto T-cell receptors for immunological recognition and responses. Interpreting and predicting HLA-peptide binding are important to study T-cell epitopes, immune reactions, and the mechanisms of adverse drug reactions. We review different types of machine learning methods and tools that have been used for HLA-peptide binding prediction. We also summarize the descriptors based on which the HLA-peptide binding prediction models have been constructed and discuss the limitation and challenges of the current methods. Lastly, we give a future perspective on the HLA-peptide binding prediction method based on network analysis.https://doi.org/10.4137/BBI.S29466 |
spellingShingle | Heng Luo Hao Ye Hui Wen Ng Lemming Shi Weida Tong Donna L. Mendrick Huixiao Hong Machine Learning Methods for Predicting HLA-Peptide Binding Activity Bioinformatics and Biology Insights |
title | Machine Learning Methods for Predicting HLA-Peptide Binding Activity |
title_full | Machine Learning Methods for Predicting HLA-Peptide Binding Activity |
title_fullStr | Machine Learning Methods for Predicting HLA-Peptide Binding Activity |
title_full_unstemmed | Machine Learning Methods for Predicting HLA-Peptide Binding Activity |
title_short | Machine Learning Methods for Predicting HLA-Peptide Binding Activity |
title_sort | machine learning methods for predicting hla peptide binding activity |
url | https://doi.org/10.4137/BBI.S29466 |
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