Evidence map›Paper›PMID 30524215›Full record

ArticleNatural computing2018

Computing with biological switches and clocks.

Neil Dalchau, Gregory Szép, Rosa Hernansaiz-Ballesteros, Chris P Barnes, Luca Cardelli, Andrew Phillips, Attila Csikász-Nagy

Abstract read
In one paragraph

Article in Natural computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  15. From Microbial Communities to Distributed Computing Systems.Frontiers in bioengineering and biotechnology · 2020
    Review
  16. An Inactivation Switch Enables Rhythms in aInternational journal of molecular sciences · 2019
    Article
  17. Review
  18. 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

7 authors.

Neil Dalchau *1Microsoft Research, Cambridge, UK.
Gregory Szép *2King's College London, London, UK.
Rosa Hernansaiz-Ballesteros *2King's College London, London, UK.
Chris P Barnes3University College London, London, UK.
Luca Cardelli1Microsoft Research, Cambridge, UK.
Andrew Phillips1Microsoft Research, Cambridge, UK.
Attila Csikász-Nagy2King's College London, London, UK.ORCID 0000-0002-2919-5601

Funding

European Research Council 770835Wellcome Trust
6 · The paper itself

Abstract

The complex dynamics of biological systems is primarily driven by molecular interactions that underpin the regulatory networks of cells. These networks typically contain positive and negative feedback loops, which are responsible for switch-like and oscillatory dynamics, respectively. Many computing systems rely on switches and clocks as computational modules. While the combination of such modules in biological systems leads to a variety of dynamical behaviours, it is also driving development of new computing algorithms. Here we present a historical perspective on computation by biological systems, with a focus on switches and clocks, and discuss parallels between biology and computing. We also outline our vision for the future of biological computing.

Indexed as

BistabilityDistributed computingDNA computingFeedback loopNetworkOscillationSynthetic biologySystems biology

Identifiers

PMID30524215
PMCPMC6244770

What OpenQuestion holds

Textmetadata
LicenceTDM
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.