Antibody-protein interactions: benchmark datasets and prediction tools evaluation.

ABSTRACT:

Background

The ability to predict antibody binding sites (aka antigenic determinants or B-cell epitopes) for a given protein is a precursor to new vaccine design and diagnostics. Among the various methods of B-cell epitope identification X-ray crystallography is one of the most reliable methods. Using these experimental data computational methods exist for B-cell epitope prediction. As the number of structures of antibody-protein complexes grows, further interest in prediction methods using 3D structure is anticipated. This work aims to establish a benchmark for 3D structure-based epitope prediction methods.

Results

Two B-cell epitope benchmark datasets inferred from the 3D structures of antibody-protein complexes were defined. The first is a dataset of 62 representative 3D

SUBMITTER: Ponomarenko JV 

PROVIDER: S-EPMC2174481 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature