What is it about?
Organisms are able to maintain their proper state and functions in the face of frequent and unexpected environmental changes by deploying corrective actions via feedback control. Consequently, feedback control is a ubiquitous mechanism and a fundamental underpinning of life. Here we propose CoRa, a powerful and flexible framework that allows not only to systematically quantify the effect of feedback control in a system’s response to environmental changes, but also to boost our understanding of the many roles that feedback control plays in biological organization.
Photo by Chris Leipelt on Unsplash
Why is it important?
Despite the importance of feedback control, no systematic and generalizable approaches existed before to effectively evaluate its role in a biological system’s response. CoRa can be computed for biological systems of arbitrary complexity under a wide range of conditions, allowing a global view of the feedback performance. As such, this approach is poised to catalyze fast progress in our understanding of the many roles that feedback control plays in biological organization.
Read the Original
This page is a summary of: CoRa—A general approach for quantifying biological feedback control, Proceedings of the National Academy of Sciences, August 2022, Proceedings of the National Academy of Sciences, DOI: 10.1073/pnas.2206825119.
You can read the full text:
CoRa algorithm | GitHub
CoRa is a general framework that quantifies the contribution of a biological feedback control mechanism to adaptation using a mathematically controlled comparison to an identical system that does not contain the feedback. CoRa provides a simple and intuitive metric with broad applicability to biological feedback systems. Here you can find an algorithm implementation of CoRa using Julia programming language.
The following have contributed to this page