Luca Cardelli

Noise analysis of derivative-action biomolecular topologies

This study analyzes noise in biomolecular topologies that implement derivative-action signal differentiation, showing that noise amplification can be avoided.

AC-BioSD : A biomolecular signal differentiator module with enhanced performance (extended version)

The paper introduces AC-BioSD, a biomolecular signal differentiator with improved performance in signal differentiation and noise attenuation.

Regulation strategies for two-output biomolecular networks

This paper develops control strategies for two-output biomolecular networks to achieve robust regulation despite coupling interactions and disturbances.

On the Design of a PID Bio-controller with Set Point Weighting and Filtered Derivative Action

This paper designs a tunable PID bio-controller with set point weighting and filtered derivative action for biomolecular process regulation, demonstrating its effectiveness through simulations.

Biomolecular mechanisms for signal differentiation

This paper identifies biomolecular mechanisms for time derivative computation in cells and proposes synthetic differentiator designs based on natural regulatory networks.

The Beacon Calculus: A formal method for the flexible and concise modelling of biological systems

The paper introduces the Beacon Calculus, a process algebra for modelling biological systems, and demonstrates its application to DNA replication, DNA damage repair, and multisite phosphorylation.