Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Vaccine Antigen Databases

  • Hifzur Rahman Ansari
  • Darren R. Flower
  • Gajendra Raghava
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_111


Vaccine is a substance that trains the host immune system to protect itself against a pathogen. Vaccine antigen databases are compilations of different types of resources directly or indirectly leading to the development of vaccines. In order to train, a variety of antigens are used to activate different arms of immune system such as B- and T-cell epitopes, and innate immune components. This entry describes databases of various components of the immune system used to design a vaccine.


Vaccine Antigen Databases


Updated version 4.0 of the MHCBN (Lata et al. 2009) contains more than 25,000 experimentally characterized T-cell and MHC binding peptides with affinity and activity data compiled from ∼1,500 literatures and other public databases. Coverage of ∼1,000 transport-associated  antigenprocessing (TAP) and ∼4,000 MHC non-binder peptides put MHCBN at a position distinct from other similar immunological databases. Database covers all major hosts like...

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  1. Ansari HR, Flower DR, Raghava GPS (2010) AntigenDB: an immunoinformatics database of pathogen antigens. Nucleic Acids Res 38:D847–D853PubMedCrossRefGoogle Scholar
  2. Chaudhuri R, Ahmed S, Ansari FA, Singh HV, Ramachandran S (2008) MalVac: database of malarial vaccine candidates. Malar J 7:184PubMedCrossRefGoogle Scholar
  3. Diez D, Hayes N, Joannin N, Normark J, Kanehisa M, Wahlgren M, Wheelock CE, Goto S (2010) varDB: a database of antigenic variant sequences–current status and future prospects. Acta Trop 114:144–151PubMedCrossRefGoogle Scholar
  4. Ivanciuc O, Schein CH, Braun W (2003) SDAP: database and computational tools for allergenic proteins. Nucleic Acids Res 31:359–362PubMedCrossRefGoogle Scholar
  5. Kamble S, Bharmal M (2009) Incremental direct expenditure of treating asthma in the United States. J Asthma 46:73–80PubMedCrossRefGoogle Scholar
  6. Lata S, Bhasin M, Raghava GPS (2009) MHCBN 4.0: a database of MHC/TAP binding peptides and T-cell epitopes. BMC Res Notes 2:61PubMedCrossRefGoogle Scholar
  7. Mari A, Scala E, Palazzo P, Ridolfi S, Zennaro D, Carabella G (2006) Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The allergome platform as a model. Cell Immunol 244:97–100PubMedCrossRefGoogle Scholar
  8. Reddy TB, Riley R, Wymore F, Montgomery P, DeCaprio D, Engels R, Gellesch M, Hubble J, Jen D, Jin H (2009) TB database: an integrated platform for tuberculosis research. Nucleic Acids Res 37:D499–D508PubMedCrossRefGoogle Scholar
  9. Saha S, Bhasin M, Raghava GP (2005) Bcipep: a database of B-cell epitopes. BMC Genomics 6:79PubMedCrossRefGoogle Scholar
  10. Shafer RW (2006) Rationale and uses of a public HIV drug-resistance database. J Infect Dis 194(Suppl 1):S51–S58PubMedCrossRefGoogle Scholar
  11. Squires B, Macken C, Garcia-Sastre A, Godbole S, Noronha J, Hunt V, Chang R, Larsen CN, Klem E, Biersack K (2008) BioHealthBase: informatics support in the elucidation of influenza virus host pathogen interactions and virulence. Nucleic Acids Res 36:D497–D503PubMedCrossRefGoogle Scholar
  12. Toseland CP, Clayton DJ, McSparron H, Hemsley SL, Blythe MJ, Paine K, Doytchinova IA, Guan P, Hattotuwagama CK, Flower DR (2005) AntiJen: a quantitative immunology database integrating functional, thermodynamic, kinetic, biophysical, and cellular data. Immunome Res 1:4PubMedCrossRefGoogle Scholar
  13. Vita R, Zarebski L, Greenbaum JA, Emami H, Hoof I, Salimi N, Damle R, Sette A, Peters B (2010) The immune epitope database 2.0. Nucleic Acids Res 38:D854–D862PubMedCrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  • Hifzur Rahman Ansari
    • 1
  • Darren R. Flower
    • 2
  • Gajendra Raghava
    • 1
  1. 1.Bioinformatics CentreInstitute of Microbial Technology, ChandigarhChandigarhIndia
  2. 2.School of Life and Health SciencesAston UniversityBirminghamUK