Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis.

ABSTRACT:

Background

As the major histocompatibility complex (MHC), human leukocyte antigens (HLAs) are one of the most polymorphic genes in humans. Patients carrying certain HLA alleles may develop adverse drug reactions (ADRs) after taking specific drugs. Peptides play an important role in HLA related ADRs as they are the necessary co-binders of HLAs with drugs. Many experimental data have been generated for understanding HLA-peptide binding. However, efficiently utilizing the data for understanding and accurately predicting HLA-peptide binding is challenging. Therefore, we developed a network analysis based method to understand and predict HLA-peptide binding.

Methods

Qualitative Class I HLA-peptide binding data were harvested and prepared from four major databases. An HLA-peptide

SUBMITTER: Luo H 

PROVIDER: S-EPMC4597169 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature