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Journal of Biomedicine and Biotechnology
Volume 2003, Issue 4, Pages 217-230
Review article

Postgenomics: Proteomics and Bioinformatics in Cancer Research

1Department of Statistics, University of Tennessee, Knoxville 37996, TN, USA
2Department of Microbiology and Molecular Cell Biology and the Virginia Prostate Center, Eastern Virginia Medical School, 700 West Olney Road, Norfolk 23501, VA, USA

Received 26 September 2002; Revised 30 November 2002; Accepted 30 November 2002

Copyright © 2003 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Now that the human genome is completed, the characterization of the proteins encoded by the sequence remains a challenging task. The study of the complete protein complement of the genome, the “proteome,” referred to as proteomics, will be essential if new therapeutic drugs and new disease biomarkers for early diagnosis are to be developed. Research efforts are already underway to develop the technology necessary to compare the specific protein profiles of diseased versus nondiseased states. These technologies provide a wealth of information and rapidly generate large quantities of data. Processing the large amounts of data will lead to useful predictive mathematical descriptions of biological systems which will permit rapid identification of novel therapeutic targets and identification of metabolic disorders. Here, we present an overview of the current status and future research approaches in defining the cancer cell's proteome in combination with different bioinformatics and computational biology tools toward a better understanding of health and disease.