creators_name: Saha, Sudipto
creators_name: Raghava, G.P.S.
type: article
datestamp: 2011-12-08 19:39:31
lastmod: 2011-12-08 19:39:31
metadata_visibility: show
title: Prediction methods for B-cell epitopes.
ispublished: pub
subjects: QR180
full_text_status: restricted
keywords:  B-cell epitope - linear epitope - physico-chemical properties - flexibility - hydrophilicity - surface accessibility - turns - recurrent neural network - vaccine 
note: Book Title: Immunoinformatics : Predicting Immunogenicity In Silico
Copyright of this article belongs to Springer Science
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.
date: 2007
date_type: published
publication: Methods in molecular biology (Clifton, N.J.)
volume: 409
publisher: Springer Science
pagerange: 387-94
refereed: TRUE
issn: 1064-3745
official_url: http://www.springerprotocols.com/cdp/search/searchResultPage?text=Prediction+methods+for+B-cell+epitopes.
citation:   Saha, Sudipto and Raghava, G.P.S.  (2007) Prediction methods for B-cell epitopes.  Methods in molecular biology (Clifton, N.J.), 409.  pp. 387-94.  ISSN 1064-3745     
document_url: http://crdd.osdd.net/open/595/1/raghavaproto03.pdf