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
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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.
Item Type: | Article |
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Additional Information: | Book Title: Immunoinformatics : Predicting Immunogenicity In Silico Copyright of this article belongs to Springer Science |
Uncontrolled Keywords: | B-cell epitope - linear epitope - physico-chemical properties - flexibility - hydrophilicity - surface accessibility - turns - recurrent neural network - vaccine |
Subjects: | Q Science > QR Microbiology > QR180 Immunology |
Depositing User: | Dr. K.P.S.Sengar |
Date Deposited: | 08 Dec 2011 19:39 |
Last Modified: | 08 Dec 2011 19:39 |
URI: | http://crdd.osdd.net/open/id/eprint/595 |
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