Evidence map›Paper›PMID 27864730›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2016

Design specifications for cellular regulation.

David C Krakauer, Lydia Müller, Sonja J Prohaska, Peter F Stadler

Abstract read
PubMed Publisher
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Do cells use passwords in cell-state transitions? Is cell signaling sometimes encrypted?Theory in biosciences = Theorie in den Biowissenschaften · 2020
    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

4 authors.

David C KrakauerSanta Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM, 87501, USA.
Lydia MüllerNatural Language Processing Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig, Härtelstrasse 16-18, 04107, Leipzig, Germany.
Sonja J ProhaskaComputational EvoDevo Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, University Leipzig, Härtelstrasse 16-18, 04107, Leipzig, Germany.
Peter F StadlerBioinformatics Group at the Department of Computer Science, Interdisciplinary Center for Bioinformatics, ScaDS, Competence Center for Scalable Data services and Solutions, and German Center for Integrative Biodiversity Research, University Leipzig, Härtelstrasse 16-18, 04107, Leipzig, Germany. studla@bioinf.uni-leipzig.de.ORCID http://orcid.org/0000-0002-5016-5191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical feature of all cellular processes is the ability to control the rate of gene or protein expression and metabolic flux in changing environments through regulatory feedback. We review the many ways that regulation is represented through causal, logical, and dynamical components. Formalizing the nature of these components promotes effective comparison among distinct regulatory networks and provides a common framework for the potential design and control of regulatory systems in synthetic biology.

Indexed as

Gene Regulatory NetworksModels, GeneticCell CycleComputer SimulationEscherichia coliFeedbackLac OperonSynthetic BiologySystems BiologyCodesFeedbackMemoryTyped I/O maps

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.