Biology – Quantitative Biology – Molecular Networks
Scientific paper
2010-02-12
Published as "Information-optimal transcriptional response to oscillatory driving," Phys. Rev. Lett. 105, 058101 (2010)
Biology
Quantitative Biology
Molecular Networks
10 pages, 5 figures
Scientific paper
10.1103/PhysRevLett.105.058101
Intracellular transmission of information via chemical and transcriptional networks is thwarted by a physical limitation: the finite copy number of the constituent chemical species introduces unavoidable intrinsic noise. Here we provide a method for solving for the complete probabilistic description of intrinsically noisy oscillatory driving. We derive and numerically verify a number of simple scaling laws. Unlike in the case of measuring a static quantity, response to an oscillatory driving can exhibit a resonant frequency which maximizes information transmission. Further, we show that the optimal regulatory design is dependent on the biophysical constraints (i.e., the allowed copy number and response time). The resulting phase diagram illustrates under what conditions threshold regulation outperforms linear regulation.
Mugler Andrew
Walczak Aleksandra M.
Wiggins Chris H.
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