Improving B-cell epitope prediction and its application to global antibody-antigen docking.

ABSTRACT:

Motivation

Antibodies are currently the most important class of biopharmaceuticals. Development of such antibody-based drugs depends on costly and time-consuming screening campaigns. Computational techniques such as antibody-antigen docking hold the potential to facilitate the screening process by rapidly providing a list of initial poses that approximate the native complex.

Results

We have developed a new method to identify the epitope region on the antigen, given the structures of the antibody and the antigen-EpiPred. The method combines conformational matching of the antibody-antigen structures and a specific antibody-antigen score. We have tested the method on both a large non-redundant set of antibody-antigen complexes and on homology models of the antibodies and/or the

SUBMITTER: Krawczyk K 

PROVIDER: S-EPMC4207425 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature