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?
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Endy, D. (2002). Towards a Predictive Biology: The Example of Bacteriophage T7. In: Landweber, L.F., Winfree, E. (eds) Evolution as Computation. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55606-7_10
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DOI: https://doi.org/10.1007/978-3-642-55606-7_10
Publisher Name: Springer, Berlin, Heidelberg
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