title: Prediction of an anti-IgE binding site on IgE.
abstract: A combination of computation techniques have been used to determine the binding site and amino acid residues on IgE that are critical for binding to a therapeutic anti-IgE. Homology modeling was used to model parts of IgE and of an antibody that binds to IgE. Docking simulations using shape descriptions were then carried out using the models to determine which residues in the IgE are involved in the binding interaction. The anti-IgE has been determined to bind close to some of the residues that are believed to be in the Fc(epsilon)RI receptor site on IgE, therefore preventing IgE from binding to Fc(epsilon)RI on mast cells and basophils and causing the release of pharmacologic mediators from these cells. Experiments have been suggested to verify the binding site and the residues involved in binding to anti-IgE.
authors.affiliation: Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
authors.forename: J D
authors.initials: JD
authors.lastname: Wright
authors.forename: C
authors.initials: C
authors.lastname: Lim
mesh_terms: D000595:Amino Acid Sequence; D000888:Antibodies, Anti-Idiotypic / Q000378:metabolism; D001666:Binding Sites, Antibody; D003198:Computer Simulation; D006801:Humans; D007073:Immunoglobulin E / Q000737:chemistry* / Q000378:metabolism; D008958:Models, Molecular; D008969:Molecular Sequence Data; D009010:Monte Carlo Method; D011487:Protein Conformation; D016415:Sequence Alignment; D013816:Thermodynamics
chemical_list: D000888:Antibodies, Anti-Idiotypic; D007073:Immunoglobulin E