Dynamics of biological systems: role of systems biology in medical research

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Cellular systems are networks of interacting components that change with time in response to external and internal events. Studying the dynamic behavior of these networks is the basis for an understanding of cellular functions and disease mechanisms. Quantitative time-series data leading to meaningful models can improve our knowledge of human physiology in health and disease, and aid the search for earlier diagnoses, better therapies and a healthier life. The advent of systems biology is about to take the leap into clinical research and medical applications. This review emphasizes the importance of a dynamic view and understanding of cell function. We discuss the potential for computer-aided mathematical modeling of biological systems in medical research with examples from some of the major therapeutic areas: cancer, cardiovascular, diabetic and neurodegenerative medicine.
Publisher
EXPERT REVIEWS
Issue Date
2006-11
Language
English
Article Type
Review
Keywords

GROWTH-FACTOR RECEPTOR; DATA INTEGRATION METHODOLOGY; PROTEIN INTERACTION NETWORK; DRUG DISCOVERY; SIGNAL-TRANSDUCTION; MOLECULAR-BIOLOGY; GENE-EXPRESSION; CANCER GENES; LIVING CELLS; LUNG-CANCER

Citation

EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, v.6, no.6, pp.891 - 902

ISSN
1473-7159
DOI
10.1586/14737159.6.6.891
URI
http://hdl.handle.net/10203/91955
Appears in Collection
BiS-Journal Papers(저널논문)
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