Evidence map›Paper›PMID 39333532›Full record

ArticleNature communications2024

Exploring the programmability of autocatalytic chemical reaction networks.

Dmitrii V Kriukov, Jurriaan Huskens, Albert S Y Wong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dmitrii V KriukovDepartment of Molecules and Materials, Faculty of Science and Technology, University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0009-0006-6465-6844
Jurriaan HuskensDepartment of Molecules and Materials, Faculty of Science and Technology, University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0000-0002-4596-9179
Albert S Y WongDepartment of Molecules and Materials, Faculty of Science and Technology, University of Twente, Enschede, the Netherlands. albert.wong@utwente.nl.ORCID http://orcid.org/0000-0001-6484-9087

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 202.155
6 · The paper itself

Abstract

Networks of chemical reactions exhibit emergent properties under out-of-equilibrium conditions. Recent advances in systems chemistry demonstrate that networks with sufficient chemical complexity can be harnessed to emulate properties important for neuromorphic computing. In all examples, autocatalysis appears an essential element for facilitating the nonlinear integration of the input and self-regulatory abilities in the output. How this chemical analogue of a positive feedback mechanism can be controlled in a programmable manner is, however, unexplored. Here, we develop a strategy that uses metal ions (Ca

Identifiers

PMID39333532
PMCPMC11436770

What OpenQuestion holds

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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.