Bcipep: A database of B-cell epitopes

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...

B-Pred, a structure based B-cell epitopes prediction server

The ability to predict immunogenic regions in selected proteins by in-silico methods has broad implications, such as allowing a quick selection of potential reagents to be used as diagnostics, vaccines, immunotherapeutics, or research tools in several branches of biological and biotechnological research. However, the prediction of antibody target sites in proteins using computational methodolog...

Characterization of the 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...

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...