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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-11-17
摘要
Within the field of synthetic biology, a rational design of 遺傳 parts should include a causal understanding of their input-output responses-the so-called transfer function-and how to tune them. However, a commonly adopted strategy is to fit data to Hill-shaped curves without considering the underlying molecular mechanisms. Here we provide a novel 數學 formalization that allows prediction of the global behavior of a synthetic device by considering the actual 資訊 from the involved 生物 parts. This is achieved by adopting an enzymology-like framework, where transfer functions are described in terms of their input affinity constant and maximal response. As a proof of concept, we characterize a set of Lux homoserine-lactone-inducible 遺傳 devices with different levels of Lux receptor and signal molecul
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