article Open AccessTop 10% cited

ElliPro: a new structure-based tool for the prediction of antibody epitopes

BMC Bioinformatics · 2008 · Vol. 9(1) · pp. 514–514

Julia Ponomarenko✉(San Diego Supercomputer Center)Huynh‐Hoa Bui(Ionis Pharmaceuticals (United States))Wei Li(University of California, San Diego)Nicholas FussederPhilip E. Bourne(University of California, San Diego)Alessandro Sette(La Jolla Institute for Immunology)Bjoern Peters(La Jolla Institute for Immunology)

View via DOI Full-text PDF

Abstract

The results from ElliPro suggest that further research on antibody epitopes considering more features that discriminate epitopes from non-epitopes may further improve predictions. As ElliPro is based on the geometrical properties of protein structure and does not require training, it might be more generally applied for predicting different types of protein-protein interactions.

vaccines and immunoinformatics approaches Glycosylation and Glycoproteins Research Monoclonal and Polyclonal Antibodies ResearchEpitopeComputational biologyComputer scienceLinear epitopeAntibodyUniProtBiologyGeneticsGene

MeSH terms

AlgorithmsBinding Sites, AntibodyHumansProtein ConformationSoftwareUser-Computer InterfaceCluster AnalysisModels, ImmunologicalEpitope MappingEpitopes, B-LymphocyteComputational BiologyInternetSequence Analysis, Protein