SpringerLink
Log in

Allergen Databases

  • Protocol
  • First Online:
Immunoinformatics

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

Abstract

In this chapter, five popular allergen databases have been described: (1) Allergome is based on basic and clinical information on allergens causing an IgE-mediated disease; (2) AllergenOnline allows online search of peer-reviewed allergen list; (3) International Union of Immunological Societies Allergen nomenclature subcommittee database contains systematic nomenclature and molecular details of well-characterized allergens; (4) AllFam allows classifying allergens into protein families based on domain information; and (5) SDAP provides in detail structural information of the allergens.

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
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • 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. Galli JS (2000) Allergy. Curr Biol 10(3): R93–R95

    Article  CAS  PubMed  Google Scholar 

  2. Kay AB (2000) Overview of allergy and allergic diseases: with a view to the future. Br Med Bull 56(4):843–864

    Article  CAS  PubMed  Google Scholar 

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

    Google Scholar 

  4. Mari A, Rasi C, Palazzo P et al (2009) Allergen databases: current status and perspectives. Curr Allergy Asthma Rep 9:376–383

    Article  PubMed  Google Scholar 

  5. Mari A, Scala E, Palazzo P et al (2007) Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The allergome platform as a model. Cell Immunol 244: 97–100

    Article  Google Scholar 

  6. Mari A, Scala E (2006) Allergome: a unifying platform. Arb Paul Ehrlich Inst Bundesamt Sera Impfstoffe Frankf A M 95:29–39, discussion 39–40

    PubMed  Google Scholar 

  7. Goodman RE (2006) Practical and predictive bioinformatics methods for the identification of potentially cross-reactive protein matches. Mol Nutr Food Res 50:655–660

    Article  CAS  PubMed  Google Scholar 

  8. Marsh DG, Goodfriend L, King TP et al (1986) Allergen nomenclature. Bull World Health Organ 64:767–774

    CAS  PubMed Central  PubMed  Google Scholar 

  9. Larsen JN, Lowenstein H (1996) Allergen nomenclature. J Allergy Clin Immunol 97: 577–578

    Article  CAS  PubMed  Google Scholar 

  10. Chapman MD, Pomés A, Breiteneder H et al (2007) Nomenclature and structural biology of allergens. J Allergy Clin Immunol 119:414–420

    Article  CAS  PubMed  Google Scholar 

  11. Radauer C, Bublin M, Wagner S et al (2008) Allergens are distributed into few protein families and possess a restricted number of biochemical functions. J Allergy Clin Immunol 121:847–852

    Article  CAS  PubMed  Google Scholar 

  12. 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 

  13. Ivanciuc O, Schein CH, Braun W (2002) Data mining of sequences and 3D structures of allergenic proteins. Bioinformatics 18(10): 1358–1364

    Article  CAS  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 & Swati Gupta Bhattacharya

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

    Debasree Sarkar & Sudipto Saha

Authors
  1. Gaurab Sircar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Debasree Sarkar
    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 authors

Correspondence to Swati Gupta Bhattacharya or 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., Sarkar, D., Bhattacharya, S.G., Saha, S. (2014). Allergen Databases. 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_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-1115-8_9

  • 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