A machine-learning approach for predicting B-cell epitopes
- 22 October 2008
- journal article
- Published by Elsevier in Molecular Immunology
- Vol. 46 (5) , 840-847
- https://doi.org/10.1016/j.molimm.2008.09.009
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- The MEPS server for identifying protein conformational epitopesBMC Bioinformatics, 2007
- Antibody-protein interactions: benchmark datasets and prediction tools evaluationBMC Structural Biology, 2007
- Epitope mapping using combinatorial phage-display libraries: a graph-based algorithmNucleic Acids Research, 2006
- Prediction of residues in discontinuous B‐cell epitopes using protein 3D structuresProtein Science, 2006
- Benchmarking B cell epitope prediction: Underperformance of existing methodsProtein Science, 2005
- The Protein Data BankNucleic Acids Research, 2000
- Prediction of chain flexibility in proteinsThe Science of Nature, 1985
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical featuresBiopolymers, 1983
- Prediction of protein antigenic determinants from amino acid sequences.Proceedings of the National Academy of Sciences, 1981
- Conformation of amino acid side-chains in proteinsJournal of Molecular Biology, 1978