title: Hybrid methods for B-cell epitope prediction.
abstract: Many computational approaches to B-cell epitope prediction have been published, including combinations of previously proposed methods, which complicates the tasks of further developing such computational approaches and of selecting those most appropriate for practical applications (e.g., the design of novel immunodiagnostics and vaccines). These tasks are considered together herein to clarify their close but often overlooked interrelationship, thereby providing a guide to their performance in mutual support of one another, with emphasis on key physicochemical and biological considerations that are relevant from an applications perspective. This aims to assist investigators in performing either or both tasks, with the overall goals of successfully applying computational tools towards practical ends and of generating informative new data towards iterative improvement of the tools, particularly as regards the design of peptide-based immunogens for eliciting the production of antipeptide antibodies that modulate biological activity of protein targets via functionally relevant cross-reactivity in relation to the phenomena of protein folding and protein disorder.
authors.affiliation: Department of Biochemistry and Molecular Biology, College of Medicine, University of the Philippines Manila, Room 101, Medical Annex Building (Salcedo Hall), 547 Pedro Gil Street, Ermita, Manila, 1000, Philippines, badong@post.upm.edu.ph.
authors.forename: Salvador Eugenio C
authors.initials: SE
authors.lastname: Caoili
mesh_terms: D000818:Animals; D000915:Antibody Affinity; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D018985:Epitopes, B-Lymphocyte / Q000737:chemistry / Q000276:immunology*; D006801:Humans; D018448:Models, Immunological; D012984:Software
chemical_list: D018985:Epitopes, B-Lymphocyte