A meta-learning approach for B-cell conformational epitope prediction

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 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...

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

B and T-Cell Epitope Prediction of the OMP25 Antigen for Developing Brucella melitensis Vaccines for Sheep

Brucellosis, produced by Brucella species, is a disease that causes severe economic losses for livestock farms worldwide Due to serious economic and medical consequences of this disease, many efforts have been made to prevent the infection through the use of recombinant vaccines based on Brucella outer membrane protein (OMP) antigens. In the present study, a wide range of on-line prediction sof...