title: Prediction methods for B-cell epitopes.
abstract: In this chapter, two prediction servers of linear B-cell epiotpes have been described; (i) BcePred, based on physico-chemical properties that include hydrophilicity, flexibility/mobility, accessibility, polarity, exposed surface, turns, and antigenicity and ii) ABCpred, based on recurrent neural network. Both of the servers assist in locating linear epitope regions in a protein.
authors.affiliation: Institute of Microbial Technology, Chandigarh, India.
authors.forename: Sudipto
authors.initials: S
authors.lastname: Saha
authors.forename: Gajendra P S
authors.initials: GP
authors.lastname: Raghava
mesh_terms: D000595:Amino Acid Sequence; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D019295:Computational Biology; D018985:Epitopes, B-Lymphocyte / Q000737:chemistry* / Q000235:genetics; D007125:Immunogenetics; D020407:Internet; D016571:Neural Networks, Computer; D022223:Vaccines, Subunit / Q000737:chemistry
chemical_list: D018985:Epitopes, B-Lymphocyte; D022223:Vaccines, Subunit