Proteome informatics for cancer research: From molecules to clinic

Vladimir Brusic, Ovidiu Marina, Catherine J. Wu, Ellis L. Reinherz

Research output: Journal PublicationReview articlepeer-review

24 Citations (Scopus)


Proteomics offers the most direct approach to understand disease and its molecular biomarkers. Biomarkers denote the biological states of tissues, cells, or body fluids that are useful for disease detection and classification. Clinical proteomics is used for early disease detection, molecular diagnosis of disease, identification and formulation of therapies, and disease monitoring and prognostics. Bioinformatics tools are essential for converting raw proteomics data into knowledge and subsequently into useful applications. These tools are used for the collection, processing, analysis, and interpretation of the vast amounts of proteomics data. Management, analysis, and interpretation of large quantities of raw and processed data require a combination of various informatics technologies such as databases, sequence comparison, predictive models, and statistical tools. We have demonstrated the utility of bioinformatics in clinical proteomics through the analysis of the cancer antigen survivin and its suitability as a target for cancer immunotherapy.

Original languageEnglish
Pages (from-to)976-991
Number of pages16
Issue number6
Publication statusPublished - Mar 2007
Externally publishedYes


  • Bioinformatics
  • Melanoma
  • Software

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology


Dive into the research topics of 'Proteome informatics for cancer research: From molecules to clinic'. Together they form a unique fingerprint.

Cite this