Evidence map›Paper›PMID 35729740›Full record

ArticleACS synthetic biology2022

Control-Based Continuation: A New Approach to Prototype Synthetic Gene Networks.

Irene de Cesare, Davide Salzano, Mario di Bernardo, Ludovic Renson, Lucia Marucci

Abstract read
In one paragraph

Article in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observing hidden neuronal states in experiments.PLoS computational biology · 2025
    Article
  3. ACS synthetic biology · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Irene de CesareEngineering Mathematics Department, University of Bristol, Bristol BS8 1TW, U.K.
Davide SalzanoEngineering Mathematics Department, University of Bristol, Bristol BS8 1TW, U.K.
Mario di BernardoDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy.
Ludovic RensonDepartment of Mechanical Engineering, Imperial College London, London SW7 2BX, U.K.
Lucia MarucciEngineering Mathematics Department, University of Bristol, Bristol BS8 1TW, U.K.ORCID 0000-0002-7553-6358

Funding

Medical Research Council MR/N021444/1
6 · The paper itself

Abstract

Control-Based Continuation (CBC) is a general and systematic method to carry out the bifurcation analysis of physical experiments. CBC does not rely on a mathematical model and thus overcomes the uncertainty introduced when identifying bifurcation curves indirectly through modeling and parameter estimation. We demonstrate,

Indexed as

Biochemical PhenomenaGene Regulatory NetworksCell CycleGenes, SyntheticModels, Theoreticalbifurcationscontrol-based continuationsynthetic biologytoggle switch

Identifiers

PMID35729740
PMCPMC9295158

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.