AC-BioSD: A Biomolecular Signal Differentiator Module With Enhanced Performance

Emmanouil Alexis; Jose L. Avalos; Luca Cardelli; Antonis Papachristodoulou

doi:10.1109/LCSYS.2024.3394810

AC-BioSD: A Biomolecular Signal Differentiator Module With Enhanced Performance

Emmanouil Alexis, Jose L. Avalos, Luca Cardelli, Antonis Papachristodoulou

Research output: Contribution to journal › Article › peer-review

Abstract

Temporal gradient estimation is a pervasive phenomenon in natural biological systems and holds great promise for synthetic counterparts with broad-reaching applications. Here, we advance the concept of BioSD (Biomolecular Signal Differentiators) by introducing a novel biomolecular topology, termed Autocatalytic-BioSD or AC-BioSD. Its structure allows for insensitivity to input signal changes and high precision in terms of signal differentiation, even when operating far from nominal conditions. Concurrently, disruptive high-frequency signal components are effectively attenuated. In addition, the usefulness of our topology in biological regulation is highlighted via a PID (Proportional-Integral-Derivative) bio-control scheme with set point weighting and filtered derivative action in both the deterministic and stochastic domains.

Original language	English (US)
Pages (from-to)	514-519
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	8
DOIs	https://doi.org/10.1109/LCSYS.2024.3394810
State	Published - 2024
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Optimization
Control and Systems Engineering

Keywords

PID control
Synthetic biology
biomolecular systems
output regulation

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10.1109/LCSYS.2024.3394810

Cite this

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title = "AC-BioSD: A Biomolecular Signal Differentiator Module With Enhanced Performance",

abstract = "Temporal gradient estimation is a pervasive phenomenon in natural biological systems and holds great promise for synthetic counterparts with broad-reaching applications. Here, we advance the concept of BioSD (Biomolecular Signal Differentiators) by introducing a novel biomolecular topology, termed Autocatalytic-BioSD or AC-BioSD. Its structure allows for insensitivity to input signal changes and high precision in terms of signal differentiation, even when operating far from nominal conditions. Concurrently, disruptive high-frequency signal components are effectively attenuated. In addition, the usefulness of our topology in biological regulation is highlighted via a PID (Proportional-Integral-Derivative) bio-control scheme with set point weighting and filtered derivative action in both the deterministic and stochastic domains.",

keywords = "PID control, Synthetic biology, biomolecular systems, output regulation",

author = "Emmanouil Alexis and Avalos, {Jose L.} and Luca Cardelli and Antonis Papachristodoulou",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2024",

doi = "10.1109/LCSYS.2024.3394810",

language = "English (US)",

volume = "8",

pages = "514--519",

journal = "IEEE Control Systems Letters",

issn = "2475-1456",

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T1 - AC-BioSD

T2 - A Biomolecular Signal Differentiator Module With Enhanced Performance

AU - Alexis, Emmanouil

AU - Avalos, Jose L.

AU - Cardelli, Luca

AU - Papachristodoulou, Antonis

PY - 2024

Y1 - 2024

N2 - Temporal gradient estimation is a pervasive phenomenon in natural biological systems and holds great promise for synthetic counterparts with broad-reaching applications. Here, we advance the concept of BioSD (Biomolecular Signal Differentiators) by introducing a novel biomolecular topology, termed Autocatalytic-BioSD or AC-BioSD. Its structure allows for insensitivity to input signal changes and high precision in terms of signal differentiation, even when operating far from nominal conditions. Concurrently, disruptive high-frequency signal components are effectively attenuated. In addition, the usefulness of our topology in biological regulation is highlighted via a PID (Proportional-Integral-Derivative) bio-control scheme with set point weighting and filtered derivative action in both the deterministic and stochastic domains.

AB - Temporal gradient estimation is a pervasive phenomenon in natural biological systems and holds great promise for synthetic counterparts with broad-reaching applications. Here, we advance the concept of BioSD (Biomolecular Signal Differentiators) by introducing a novel biomolecular topology, termed Autocatalytic-BioSD or AC-BioSD. Its structure allows for insensitivity to input signal changes and high precision in terms of signal differentiation, even when operating far from nominal conditions. Concurrently, disruptive high-frequency signal components are effectively attenuated. In addition, the usefulness of our topology in biological regulation is highlighted via a PID (Proportional-Integral-Derivative) bio-control scheme with set point weighting and filtered derivative action in both the deterministic and stochastic domains.

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KW - Synthetic biology

KW - biomolecular systems

KW - output regulation

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JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

ER -

AC-BioSD: A Biomolecular Signal Differentiator Module With Enhanced Performance

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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