Antibody-protein interactions: benchmark datasets and prediction tools evaluation |
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Authors: | Julia V Ponomarenko Philip E Bourne |
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Institution: | (1) San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA;(2) Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA |
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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. |
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Keywords: | |
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