The future of predictive biosimulation in drug discovery

Abstract

Biosimulation and mathematical modeling are powerful approaches for characterizing complex biological systems and their dynamic evolution. The modeling process enables research scientists to systematically identify critical gaps in their knowledge and explicitly formulate candidate hypotheses to span them. Biosimulations are being used to explore “what if” scenarios that can lead to recommendations for designing the best, most informative ‘next experiment.’ This targeted approach to assay development, data interpretation and decision making promises to dramatically narrow the ‘predictability gap’ between drug discovery and clinical development.

Keywords::

• biosimulation
• modeling
• systems biology

Acknowledgements

The authors would like to thank B Sudbeck, D Young, C Friedrich and J Fujisaki for their contributions to this work.

Notes