SpringerLink
Log in

In Silico Prediction of Allergenic Proteins

  • Protocol
  • First Online:
Immunoinformatics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1184))

Abstract

Currently, the prediction of new allergens is becoming important due to use of genetically modified (GM) foods and biopharmaceuticals. In this chapter, we describe how to use four popular allergenic prediction servers: (1) Structural Database of Allergenic Proteins (SDAP), (2) Allermatch, (3) Evaller 2, and (4) AlgPred. The first two prediction servers are based on traditional approaches, whereas Evaller 2 and AlgPred use sophisticated machine learning techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Protocol
EUR 44.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 93.08
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 117.69
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
EUR 160.49
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ghosh D, Gupta Bhattacharya S (2011) Allergen bioinformatics: recent trends and developments. In: **a X (ed) Selected works in bioinformatics, InTechOpen, Croatia

    Google Scholar 

  2. Stadler MB, Stadler BM (2003) Allergenicity prediction by protein sequence. FASEB J 17(9):1141–1143

    CAS  PubMed  Google Scholar 

  3. WHO (2003) Joint FAO/WHO food standards programme. Codex Ad Hoc intergovernmental task force on foods derived from biotechnology. World Health Organization, Yokohama (Japan) Accessed 18 Sept 2006

    Google Scholar 

  4. Ivanciuc O, Schein CH, Braun W (2003) SDAP: database and computational tools for allergenic proteins. Nucleic Acids Res 31(1):359–362

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  5. Fiers MWEJ, Gijs KA, Nijland H (2004) AllermatchTM, a webtool for the prediction of potential allergenicity according to current FAO/WHO Codex alimentarius guidelines. BMC Bioinformatics 5:133

    Article  PubMed Central  PubMed  Google Scholar 

  6. Martinez Barrio A, Soeria-Atmadja D, Nistér A (2007) EVALLER: a web server for in silico assessment of potential protein allergenicity. Nucleic Acids Res 35:W694–W700

    Article  PubMed  Google Scholar 

  7. Saha S, Raghava GPS (2006) AlgPred: prediction of allergenic proteins and map** of IgE epitopes. Nucleic Acids Res 34:W202–W209

    Article  CAS  PubMed Central  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Division of Plant Biology, Bose Institute, 93/1 Acharya Prafulla Chandra Road, Kolkata, 700009, India

    Gaurab Sircar, Bodhisattwa Saha & Swati Gupta Bhattacharya

  2. Bioinformatics Centre, Bose Institute, P 1/12, C.I.T. Road, Scheme-VII (M), Kolkata, 700054, India

    Sudipto Saha

Authors
  1. Gaurab Sircar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bodhisattwa Saha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Swati Gupta Bhattacharya
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sudipto Saha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sudipto Saha .

Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, West Bengal, India

    Rajat K. De

  2. Indian Statistical Institute, Kolkata, West Bengal, India

    Namrata Tomar

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this protocol

Cite this protocol

Sircar, G., Saha, B., Bhattacharya, S.G., Saha, S. (2014). In Silico Prediction of Allergenic Proteins. In: De, R., Tomar, N. (eds) Immunoinformatics. Methods in Molecular Biology, vol 1184. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1115-8_21

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-1115-8_21

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1114-1

  • Online ISBN: 978-1-4939-1115-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics

Search

Navigation