Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential.

ABSTRACT: In the past, numerous methods have been developed to predict MHC class II binders or T-helper epitopes for designing the epitope-based vaccines against pathogens. In contrast, limited attempts have been made to develop methods for predicting T-helper epitopes/peptides that can induce a specific type of cytokine. This paper describes a method, developed for predicting interleukin-10 (IL-10) inducing peptides, a cytokine responsible for suppressing the immune system. All models were trained and tested on experimentally validated 394 IL-10 inducing and 848 non-inducing peptides. It was observed that certain types of residues and motifs are more frequent in IL-10 inducing peptides than in non-inducing peptides. Based on this analysis, we developed composition-based models using various machine

SUBMITTER: Nagpal G 

PROVIDER: S-EPMC5314457 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature