A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.

ABSTRACT: Human leukocyte antigen class I (HLA-I) molecules are encoded by major histocompatibility complex (MHC) class I loci in humans. The binding and interaction between HLA-I molecules and intracellular peptides derived from a variety of proteolytic mechanisms play a crucial role in subsequent T-cell recognition of target cells and the specificity of the immune response. In this context, tools that predict the likelihood for a peptide to bind to specific HLA class I allotypes are important for selecting the most promising antigenic targets for immunotherapy. In this article, we comprehensively review a variety of currently available tools for predicting the binding of peptides to a selection of HLA-I allomorphs. Specifically, we compare their calculation methods for the prediction score, employ

SUBMITTER: Mei S 

PROVIDER: S-EPMC7373177 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature