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In Silico Models for B-Cell Epitope Recognition and Signaling

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Book cover In Silico Models for Drug Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 993))

Abstract

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.

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Acknowledgments

H.R.A. is financially supported by the Council of Scientific and Industrial Research (CSIR), New Delhi, India.

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Authors and Affiliations

  1. Bioinformatics Centre, Institute of Microbial Technology, Chandigarh, India

    Hifzur Rahman Ansari & Gajendra P. S. Raghava

Authors
  1. Hifzur Rahman Ansari
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  2. Gajendra P. S. Raghava
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Editors and Affiliations

  1. , Dept. of Microbiology & Immunology, Drexel University College of Medicine, Queen Lane 2900, Philadelphia, 19129, Pennsylvania, USA

    Sandhya Kortagere

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Ansari, H.R., Raghava, G.P.S. (2013). In Silico Models for B-Cell Epitope Recognition and Signaling. In: Kortagere, S. (eds) In Silico Models for Drug Discovery. Methods in Molecular Biology, vol 993. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-342-8_9

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  • DOI: https://doi.org/10.1007/978-1-62703-342-8_9

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-341-1

  • Online ISBN: 978-1-62703-342-8

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