Small- and large-scale biosimulation applied to drug discovery and development.

Drug discovery today

PubMedID: 12546905

Musante CJ, Lewis AK, Hall K. Small- and large-scale biosimulation applied to drug discovery and development. Drug Discov Today. 2002;7(20 Suppl):S192-6.
Biosimulation uses mathematics to quantitatively represent the dynamics of biological systems and thereby analyze and predict system behavior. Biosimulations can be classified into two general categories: small-scale models designed to address a specific problem, and large-scale models of detailed regulatory mechanisms used to address a broad scope of questions. Both classes of biosimulations have been applied to problems important for drug discovery and development. Small-scale biosimulations have been particularly useful for interpreting clinical data and developing novel biomarkers. Large-scale biosimulations typically integrate a wide variety of data and can provide insights into how complex biological systems are regulated in both health and disease. Because large-scale biosimulations represent detailed regulatory mechanisms and their interactions, they can predict the overall clinical effect of modulating individual pathways or targets. In this mini-review, we describe several examples of how small- and large-scale biosimulations have been applied to problems important for drug development in diabetes, HIV, heart disease and asthma.