Biological systems compute spatial and temporal gradients with a variety of mechanisms, some of which have been shown to include integral feedback. In traditional engineering fields, it is well known that integral components within a negative feedback loop can be used to perform a derivative action. In this paper, we define the concept of a practical differentiator that is inspired by this design principle. We then consider three simple biological circuit examples in which we prove that feedback combined with ultrasensitive, quasi-integral components yields a practical differential network under some assumptions. These examples include phosphory-lation/dephosphorylation cycles, and two networks relying on molecular sequestration.
Practical differentiation using ultrasensitive molecular circuits / Cuba Samaniego, C., Giordano, G., Franco, E.. - (2019), pp. 692-697. (18th European Control Conference, ECC 2019 Napoli, Italy 25-28 June 2019) [10.23919/ECC.2019.8795842].
Practical differentiation using ultrasensitive molecular circuits
Giordano, Giulia;
2019-01-01
Abstract
Biological systems compute spatial and temporal gradients with a variety of mechanisms, some of which have been shown to include integral feedback. In traditional engineering fields, it is well known that integral components within a negative feedback loop can be used to perform a derivative action. In this paper, we define the concept of a practical differentiator that is inspired by this design principle. We then consider three simple biological circuit examples in which we prove that feedback combined with ultrasensitive, quasi-integral components yields a practical differential network under some assumptions. These examples include phosphory-lation/dephosphorylation cycles, and two networks relying on molecular sequestration.| File | Dimensione | Formato | |
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