Evidence map›Paper›PMID 31039695›Full record

ArticleJournal of the Royal Society, Interface2019

The thermodynamic uncertainty relation in biochemical oscillations.

Robert Marsland, Wenping Cui, Jordan M Horowitz

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Colloidal superionic conductors.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Improved bounds on entropy production in living systems.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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.

Robert Marsland1 Department of Physics, Boston University , 590 Commonwealth Avenue, Boston, MA 02215 , USA.
Wenping Cui1 Department of Physics, Boston University , 590 Commonwealth Avenue, Boston, MA 02215 , USA.
Jordan M Horowitz3 Physics of Living Systems Group, Department of Physics, Massachusetts Institute of Technology, 400 Technology Square , Cambridge, MA 02139 , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Living systems regulate many aspects of their behaviour through periodic oscillations of molecular concentrations, which function as 'biochemical clocks.' The chemical reactions that drive these clocks are intrinsically stochastic at the molecular level, so that the duration of a full oscillation cycle is subject to random fluctuations. Their success in carrying out their biological function is thought to depend on the degree to which these fluctuations in the cycle period can be suppressed. Biochemical oscillators also require a constant supply of free energy in order to break detailed balance and maintain their cyclic dynamics. For a given free energy budget, the recently discovered 'thermodynamic uncertainty relation' yields the magnitude of period fluctuations in the most precise conceivable free-running clock. In this paper, we show that computational models of real biochemical clocks severely underperform this optimum, with fluctuations several orders of magnitude larger than the theoretical minimum. We argue that this suboptimal performance is due to the small number of internal states per molecule in these models, combined with the high level of thermodynamic force required to maintain the system in the oscillatory phase. We introduce a new model with a tunable number of internal states per molecule and confirm that it approaches the optimal precision as this number increases.

Indexed as

Biological ClocksEntropyModels, BiologicalUncertaintychemical reaction networkscircadian oscillationsnon-equilibrium statistical mechanicsstochastic thermodynamics

Identifiers

PMID31039695
PMCPMC6544898

What OpenQuestion holds

Textmetadata
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.