Computational Ensemble Approach for Immune System Study: Conformational B-cell Epitope Prediction

Computational Ensemble Approach for Immune System Study: Conformational B-cell Epitope Prediction

Various tools have been developed to predict B-cell epitopes. We proposed a multistrategy approach by integrating two ensemble learning techniques, namely bagging and meta-decision tree, with a threshold-based cost-sensitive method. By exploiting the synergy among multiple retrainable inductive learners, it directly learns a tree-like classification architecture from the data, and is not limite...

Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction

Identification of epitopes which invoke strong humoral responses is an essential issue in the field of immunology. Localizing epitopes by experimental methods is expensive in terms of time, cost, and effort; therefore, computational methods feature for its low cost and high speed was employed to predict B-cell epitopes. In this paper, we review the recent advance of bioinformatics resources and...

Computational Prediction of Conformational B-Cell Epitopes from Antigen Primary Structures by Ensemble Learning

MOTIVATION The conformational B-cell epitopes are the specific sites on the antigens that have immune functions. The identification of conformational B-cell epitopes is of great importance to immunologists for facilitating the design of peptide-based vaccines. As an attempt to narrow the search for experimental validation, various computational models have been developed for the epitope predict...

B-cell Epitope Prediction

When a living organism encounters a pathogenic virus ormicrobe, the B cells of the immune system recognize the pathogen’s antigens by their membrane-bound immunoglobulin receptors and, in response, produce antibodies specific to these antigens. The term antigen refers to any entity—a cell, a macromolecular assembly, or a molecule—that may be bound by either a B-cell receptor or an antibody mole...

prediction of linear and conformational b cell epitope of her2 ecd for monoclonal antibody development using immunoinformatic methods