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Towards a Predictive Biology: The Example of Bacteriophage T7

  • Drew Endy
Conference paper
Part of the Natural Computing Series book series (NCS)

Abstract

I examine a relatively simple and well-characterized virus, bacteriophage T7, as a platform for advancing the development of a predictive system-level biology This examination results in a non-fitted mechanistic simulation capable of predicting the virus’ growth cycle resolved at the level of unique intracellular species. From this effort I hope to approach the following questions. How good are the predictions from such a simulation? Can we evaluate our level of understanding for a biological system by comparing such quantitative predictions to observations? What new questions regarding evolved biological systems become addressable using such a simulation? Finally, if the behavior of an evolved biological system can be predicted, can the same abilities be applied to design novel biological systems?

Keywords

Growth Cycle Genetic Circuit Wild Type Growth Phage Growth Fashion Leadin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Drew Endy

There are no affiliations available

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