TY  - JOUR
N1  - Copyright of this article belongs to Springer.
ID  - open2463
UR  - https://link.springer.com/protocol/10.1007%2F978-1-62703-342-8_9
A1  - Ansari, Hifzur Rahman
A1  - Raghava, G.P.S.
Y1  - 2013///
N2  - Tremendous technological advances in peptide synthesis and modification in recent years have resolved the major limitations of peptide-based vaccines. B-cell epitopes are major components of these vaccines (besides having other biological applications). Researchers have been developing in silico or computational models for the prediction of both linear and conformational B-cell epitopes, enabling immunologists and clinicians to identify the most promising epitopes for characterization in the laboratory. Attempts are also ongoing in systems biology to delineate the signaling networks in immune cells. Here we present all possible in silico models developed thus far in these areas.
PB  - Springer
JF  - Methods in molecular biology (Clifton, N.J.)
VL  - 993
KW  - B-cell epitopes Linear Conformational Support vector machines Hidden Markov models Immunoinformatics 
SN  - 1940-6029
TI  - In silico models for B-cell epitope recognition and signaling.
SP  - 129
EP  - 38
ER  -