2020
DOI: 10.1101/2020.10.09.334078
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

CoRa –A general approach for quantifying biological feedback control

Abstract: Feedback control is a fundamental underpinning of life, underlying homeostasis of biological processes at every scale of organization, from cells to ecosystems. The ability to evaluate the contribution and limitations of feedback control mechanisms operating in cells is a critical step for understanding and ultimately designing feedback control systems with biological molecules. Here, we introduce CoRa –or ControlRatio–, a general framework that quantifies the contribution of a biological feedback control mech… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 19 publications
0
2
0
Order By: Relevance
“…Code and simulations have been deposited in GitHub ( https://github.com/mgschiavon/CoRa ), and Zenodo (doi: 10.5281/zenodo.5842431 ) ( 18 , 19 ). Equations, parameters values, and algorithms also appear in SI Appendix .…”
Section: Data Materials and Software Availabilitymentioning
confidence: 99%
“…Code and simulations have been deposited in GitHub ( https://github.com/mgschiavon/CoRa ), and Zenodo (doi: 10.5281/zenodo.5842431 ) ( 18 , 19 ). Equations, parameters values, and algorithms also appear in SI Appendix .…”
Section: Data Materials and Software Availabilitymentioning
confidence: 99%
“…Of course, they do (Tyson et al, 2003;Domingo-Sananes and Novak, 2010). This is not only a mathematical certainty but is also backed up by much experimental work-for example, how different implementations of simple positive or negative feedback loops have different characteristics (Tyson et al, 2003;Gó mez-Schiavon and El-Samad, 2020). But, can some architectures of feedback loops work better in teams than others?…”
Section: Do Details and Parameters Of Feedback Implementation Really Matter?mentioning
confidence: 99%