Evidence map›Paper›PMID 34244502›Full record

ArticleNature communications2021

Integration of photocatalytic and dark-operating catalytic biomimetic transformations through DNA-based constitutional dynamic networks.

Chen Wang, Michael P O'Hagan, Ehud Neumann, Rachel Nechushtai, Itamar Willner

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Constitutional adaptation to pChemical science · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. 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.

Chen WangInstitute of Chemistry, The Minerva Center for Complex Bio-hybrid Systems, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-2555-5355
Michael P O'HaganInstitute of Chemistry, The Minerva Center for Complex Bio-hybrid Systems, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-4180-3144
Ehud NeumannInstitute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
Rachel NechushtaiInstitute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
Itamar WillnerInstitute of Chemistry, The Minerva Center for Complex Bio-hybrid Systems, The Hebrew University of Jerusalem, Jerusalem, Israel. itamar.willner@mail.huji.ac.il.ORCID 0000-0001-9710-9077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acid-based constitutional dynamic networks (CDNs) have recently emerged as versatile tools to control a variety of catalytic processes. A key challenge in the application of these systems is achieving intercommunication between different CDNs to mimic the complex interlinked networks found in cellular biology. In particular, the possibility to interface photochemical 'energy-harvesting' processes with dark-operating 'metabolic' processes, in a similar way to plants, represents an up to now unexplored yet enticing research direction. The present study introduces two CDNs that allow the intercommunication of photocatalytic and dark-operating catalytic functions mediated by environmental components that facilitate the dynamic coupling of the networks. The dynamic feedback-driven intercommunication of the networks is accomplished via information transfer between the two CDNs effected by hairpin fuel strands in the environment of the system, leading to the coupling of the photochemical and dark-operating modules.

Indexed as

Genetic TechniquesPhotochemical ProcessesBiomimetic MaterialsDNA, CatalyticLightNucleic Acid ConformationDNA, Catalytic

Identifiers

PMID34244502
PMCPMC8270929

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Registered trials

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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.