Mathematical biodescriptors of proteomics maps: Background and applications

Subhash C Basak, Brian D Gute

Research output: Contribution to journalReview article

16 Scopus citations

Abstract

This article reviews recent developments in the formulation and application of biodescriptors to characterize proteomics maps. Such biodescriptors can be derived by applying techniques from discrete mathematics (graph theory, linear algebra and information theory). This review focuses on the development of biodescriptors for proteomics maps derived from 2D gel electrophoresis. Preliminary results demonstrated that such descriptors have a reasonable ability to differentiate between proteomics patterns that result from exposure to closely related individual chemicals and complex mixtures, such as the jet fuel JP-8. Further research is required to evaluate the utility of these proteomics-based biodescriptors for drug discovery and predictive toxicology.

Original languageEnglish (US)
Pages (from-to)320-326
Number of pages7
JournalCurrent Opinion in Drug Discovery and Development
Volume11
Issue number3
StatePublished - May 1 2008

Keywords

  • Biodescriptor
  • Biomarker
  • Biosignature
  • D/D matrix
  • Embedded graph
  • Graph invariant
  • Leading eigenvalue
  • Map information content
  • Map similarity
  • Proteomics map
  • Zigzag graph

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