Systems modeling: a pathway to drug discovery.

Curr Opin Chem Biol

National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bangalore, India.

Published: August 2005

AI Article Synopsis

  • Systems modeling is becoming increasingly important in therapeutics, aided by the use of computational models and growth in systems biology companies collaborating with the pharmaceutical industry.
  • These models help clarify pharmacological effects across different stages of cell signaling, including receptor interactions and communication between cells.
  • Notable applications include insights into cardiovascular therapies, exploration of drug targets in myeloma, and new treatment strategies for diabetes, making drug discovery more efficient and systematic.

Article Abstract

Systems modeling is emerging as a valuable tool in therapeutics. This is seen by the increasing use of clinically relevant computational models and a rise in systems biology companies working with the pharmaceutical industry. Systems models have helped understand the effects of pharmacological intervention at receptor, intracellular and intercellular communication stages of cell signaling. For instance, angiogenesis models at the ligand-receptor interaction level have suggested explanations for the failure of therapies for cardiovascular disease. Intracellular models of myeloma signaling have been used to explore alternative drug targets and treatment schedules. Finally, modeling has suggested novel approaches to treating disorders of intercellular communication, such as diabetes. Systems modeling can thus fill an important niche in therapeutics by making drug discovery a faster and more systematic process.

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http://dx.doi.org/10.1016/j.cbpa.2005.06.008DOI Listing

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