ElliPro: a new structure-based tool for the prediction of antibody epitopes
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* Corresponding author: Julia Ponomarenko jpon@sdsc.edu
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
3 Isis Pharmaceuticals, Inc., 1896 Rutherford Road, Carlsbad, California 92008, USA
4 La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, California 92037, USA
BMC Bioinformatics 2008, 9:514 doi:10.1186/1471-2105-9-514
Published: 2 December 2008Additional files
Additional file 1:
The detailed statistics on the prediction results for 39 epitopes analyzed. This table provides additional information that complements the Table 1 and Figure 3.
Format: XLS Size: 514KB Download file
This file can be viewed with: Microsoft Excel Viewer
