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

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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish (US)
Pages (from-to)514-519
Number of pages6
JournalIEEE Control Systems Letters
StatePublished - 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Control and Systems Engineering


  • PID control
  • Synthetic biology
  • biomolecular systems
  • output regulation


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