Computational immunology: The coming of age

Nikolai Petrovsky, Vladimir Brusic

Research output: Contribution to journalReview articlepeer-review

47 Citations (Scopus)

Abstract

The explosive growth in biotechnology combined with major advances in information technology has the potential to radically transform immunology in the postgenomics era. Not only do we now have ready access to vast quantities of existing data, but new data with relevance to immunology are being accumulated at an exponential rate. Resources for computational immunology include biological databases and methods for data extraction, comparison, analysis and interpretation. Publicly accessible biological databases of relevance to immunologists number in the hundreds and are growing daily. The ability to efficiently extract and analyse information from these databases is vital for efficient immunology research. Most importantly, a new generation of computational immunology tools enables modelling of peptide transport by the transporter associated with antigen processing (TAP), modelling of antibody binding sites, identification of allergenic motifs and modelling of T-cell receptor serial triggering.

Original languageEnglish
Pages (from-to)248-254
Number of pages7
JournalImmunology and Cell Biology
Volume80
Issue number3
DOIs
Publication statusPublished - 26 Jun 2002
Externally publishedYes

Keywords

  • Allergy
  • Autoimmunity
  • Bioinformatics
  • Cancer
  • Computational immunology
  • Databases
  • Genomics

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