Evidence map›Paper›PMID 23336016›Full record

ArticleCommunicative & integrative biology2012

Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo.

Tomonori Kawano, François Bouteau, Stefano Mancuso

Open access · goldAbstract read
In one paragraph

Article in Communicative & integrative biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Plants have two minds as we do.Plant signaling & behavior · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Plant Science View on Biohybrid Development.Frontiers in bioengineering and biotechnology · 2017
    Review
  6. Article
  7. The biological microprocessor, or how to build a computer with biological parts.Computational and structural biotechnology journal · 2013
    Review
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

3 authors at 2 institutions in 3 countries.

Tomonori KawanoFaculty and Graduate School of Environmental Engineering; The University of Kitakyushu; Kitakyushu, Japan ; LINV @ Kitakyushu Research Center; Kitakyushu, Japan ; LINV @ Firenze; Department of Plant Soil and Environmental Science; University of Florence; Sesto Fiorentino, Italy ; Paris Interdisciplinary Energy Research Institute (PIERI); Paris, France.
François Bouteau
Stefano Mancuso
The University of Kitakyushu · JPInstitut des Sciences des Plantes de Paris Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The automata theory is the mathematical study of abstract machines commonly studied in the theoretical computer science and highly interdisciplinary fields that combine the natural sciences and the theoretical computer science. In the present review article, as the chemical and biological basis for natural computing or informatics, some plants, plant cells or plant-derived molecules involved in signaling are listed and classified as natural sequential machines (namely, the Mealy machines or Moore machines) or finite state automata. By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious. Finally, their putative roles as the parts for plant-based computing or robotic systems are discussed.

Indexed as

aqueous computingautomatonplant enzymeplant signaling

Identifiers

PMID23336016
PMCPMC3541313
OpenAlexW2032884157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.