Computational characterization of B-cell epitopes

Computational characterization of B-cell epitopes.

Characterizing B-cell epitopes is a fundamental step for understanding the immunological basis of bio-recognition. To date, epitope analyses have either been based on limited structural data, or sequence data alone. In this study, our null hypothesis was that the surface of the antigen is homogeneously antigenic. To test this hypothesis, a large dataset of antibody-antigen complex structures, t...

Characterization of the B Cell Epitopes

Computational prediction of B cell epitopes from antigen sequences.

Computational identification of B-cell epitopes from antigen chains is a difficult and actively pursued research topic. Efforts towards the development of method for the prediction of linear epitopes span over the last three decades, while only recently several predictors of conformational epitopes were released. We review a comprehensive set of 13 recent approaches that predict linear and 4 me...

Epitope Mapping: B-cell Epitopes

Immunoglobulin molecules are folded in a way that assembles sequences from the variable regions of both the heavy and light chains into a surface feature (comprised of up to six complementarity-determining regions (CDRs)) that is complementary in shape to a surface structure on the antigen. These two surface features, the ‘paratope’ on the antibody and the ‘epitope’ on the antigen, may have a c...

Quantitative Prediction of Linear B-Cell Epitopes

In scientific literature, there are many programs that predict linear B-cell epitopes from a protein sequence. Each program generates multiple B-cell epitopes that can be individually studied. This paper defines a function called that combines results from five different prediction programs concerning the linear B-cell epitopes (ie., BebiPred, EPMLR, BCPred, ABCPred and Emini Prediction) fo...