Evidence map›Paper›PMID 37081018›Full record

ArticleNature communications2023

Universal structures for adaptation in biochemical reaction networks.

Robyn P Araujo, Lance A Liotta

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Laser capture microdissection.Nature reviews. Methods primers · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Sensitivity analysis of biochemical systems using bond graphs.Journal of the Royal Society, Interface · 2023
    Article
  12. 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

2 authors.

Robyn P AraujoSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, 4000, Australia. r.araujo@qut.edu.au.ORCID 0000-0002-3360-2214
Lance A LiottaCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, 20110, USA.

Funding

Probes to target the 3-way hotspot of IL1RacP to abolish aberrant interleukin inflammationR01AR068436 · NIAMS · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2015 to 2017
$1.7M
Nanotechnology for One Step Concentration and Preservation of Labile Biomarkers iR21CA137706 · NCI · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2009 to 2010
$530k
NCI NIH HHS R21 CA137706NIAMS NIH HHS R01 AR068436
6 · The paper itself

Abstract

At the molecular level, the evolution of life is driven by the generation and diversification of adaptation mechanisms. A universal description of adaptation-capable chemical reaction network (CRN) structures has remained elusive until now, since currently-known criteria for adaptation apply only to a tiny subset of possible CRNs. Here we identify the definitive structural requirements that characterize all adaptation-capable collections of interacting molecules, however large or complex. We show that these network structures implement a form of integral control in which multiple independent integrals can collaborate to confer the capacity for adaptation on specific molecules. Using an algebraic algorithm informed by these findings, we demonstrate the existence of embedded integrals in a variety of biologically important CRNs that have eluded previous methods, and for which adaptation has been observed experimentally. This definitive picture of biological adaptation at the level of intermolecular interactions represents a blueprint for adaptation-capable signaling networks across all domains of life, and for the design of synthetic biosystems.

Indexed as

AcclimatizationAdaptation, PhysiologicalSignal Transduction

Identifiers

PMID37081018
PMCPMC10119132

What OpenQuestion holds

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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.