TY  - JOUR
N1  - Book Title: Immunoinformatics : Predicting Immunogenicity In Silico
Copyright of this article belongs to Springer Science
ID  - open595
UR  - http://www.springerprotocols.com/cdp/search/searchResultPage?text=Prediction+methods+for+B-cell+epitopes.
A1  - Saha, Sudipto
A1  - Raghava, G.P.S.
Y1  - 2007///
N2  - 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.
PB  - Springer Science
JF  - Methods in molecular biology (Clifton, N.J.)
VL  - 409
KW  -  B-cell epitope - linear epitope - physico-chemical properties - flexibility - hydrophilicity - surface accessibility - turns - recurrent neural network - vaccine 
SN  - 1064-3745
TI  - Prediction methods for B-cell epitopes.
SP  - 387
AV  - restricted
EP  - 94
ER  -