Executable cell biology

Fisher J, Henzinger TA. 2007. Executable cell biology. Nature Biotechnology. 25, 1239–1249.

No fulltext has been uploaded. References only!

Journal Article | Published
Fisher, Jasmin; Henzinger, Thomas AISTA
Computational modeling of biological systems is becoming increasingly important in efforts to better understand complex biological behaviors. In this review, we distinguish between two types of biological models—mathematical and computational—which differ in their representations of biological phenomena. We call the approach of constructing computational models of biological systems 'executable biology', as it focuses on the design of executable computer algorithms that mimic biological phenomena. We survey the main modeling efforts in this direction, emphasize the applicability and benefits of executable models in biological research and highlight some of the challenges that executable biology poses for biology and computer science. We claim that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research. This will drive biology toward a more precise engineering discipline.
Publishing Year
Date Published
Journal Title
Nature Biotechnology
1239 - 1249

Cite this

Fisher J, Henzinger TA. Executable cell biology. Nature Biotechnology. 2007;25:1239-1249. doi:10.1038/nbt1356
Fisher, J., & Henzinger, T. A. (2007). Executable cell biology. Nature Biotechnology. Nature Publishing Group. https://doi.org/10.1038/nbt1356
Fisher, Jasmin, and Thomas A Henzinger. “Executable Cell Biology.” Nature Biotechnology. Nature Publishing Group, 2007. https://doi.org/10.1038/nbt1356.
J. Fisher and T. A. Henzinger, “Executable cell biology,” Nature Biotechnology, vol. 25. Nature Publishing Group, pp. 1239–1249, 2007.
Fisher J, Henzinger TA. 2007. Executable cell biology. Nature Biotechnology. 25, 1239–1249.
Fisher, Jasmin, and Thomas A. Henzinger. “Executable Cell Biology.” Nature Biotechnology, vol. 25, Nature Publishing Group, 2007, pp. 1239–49, doi:10.1038/nbt1356.


Marked Publications

Open Data ISTA Research Explorer

Search this title in

Google Scholar