Prediction of linear B-cell epitopes.
The prediction of B-cell epitopes is desirable for designing peptide-based vaccines, or generating antibodies especially if the purified protein is difficult to obtain and immunization has to be performed with protein-derived synthetic peptides. A number of freely available tools predict epitopes from protein sequence or structural information. The handling of these tools is described and the predictive power is assessed using test data based on the proteome of HIV, where comprehensive epitope mapping data are available.
Reimer
Ulf
U
Computational Chemistry Department, Jerini AG, Invalidenstr. 130, D-10115 Berlin, Germany.
D000595:Amino Acid Sequence; D000906:Antibodies / Q000737:chemistry / Q000276:immunology; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D018604:Epitope Mapping / Q000379:methods*; D018985:Epitopes, B-Lymphocyte / Q000737:chemistry / Q000276:immunology*; D006678:HIV / Q000737:chemistry / Q000276:immunology; D006801:Humans; D008958:Models, Molecular; D011487:Protein Conformation; D012984:Software; D014764:Viral Proteins / Q000737:chemistry / Q000276:immunology
D000906:Antibodies; D018985:Epitopes, B-Lymphocyte; D014764:Viral Proteins