Evidence map›Paper›PMID 27762233›Full record

ArticleIET systems biology2016

Modular bond-graph modelling and analysis of biomolecular systems.

Peter J Gawthrop, Edmund J Crampin

Abstract read
In one paragraph

Article in IET systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sensitivity analysis of biochemical systems using bond graphs.Journal of the Royal Society, Interface · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Energy-based analysis of biomolecular pathways.Proceedings. Mathematical, physical, and engineering sciences · 2017
    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.

Peter J GawthropCentre for Systems Genomics, University of Melbourne, Victoria 3010, Australia. peter.gawthrop@unimelb.edu.au.
Edmund J CrampinARC Centre of Excellence in Convergent Bio-Nano Science, Melbourne School of Engineering, University of Melbourne, Victoria 3010, Australia.

Funding

The Virtual Physiological Rat ProjectP50GM094503 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2011 to 2015
$11.6M
NIGMS NIH HHS P50 GM094503
6 · The paper itself

Abstract

Bond graphs can be used to build thermodynamically-compliant hierarchical models of biomolecular systems. As bond graphs have been widely used to model, analyse and synthesise engineering systems, this study suggests that they can play the same rôle in the modelling, analysis and synthesis of biomolecular systems. The particular structure of bond graphs arising from biomolecular systems is established and used to elucidate the relation between thermodynamically closed and open systems. Block diagram representations of the dynamics implied by these bond graphs are used to reveal implicit feedback structures and are linearised to allow the application of control-theoretical methods. Two concepts of modularity are examined: computational modularity where physical correctness is retained and behavioural modularity where module behaviour (such as ultrasensitivity) is retained. As well as providing computational modularity, bond graphs provide a natural formulation of behavioural modularity and reveal the sources of retroactivity. A bond graph approach to reducing retroactivity, and thus inter-module interaction, is shown to require a power supply such as that provided by the ATP ⇌ ADP + Pi reaction. The mitogen-activated protein kinase cascade (Raf-MEK-ERK pathway) is used as an illustrative example.

Indexed as

MAP Kinase Signaling SystemSystems BiologyAdenosine DiphosphateAdenosine TriphosphateAlgorithmsCatalysisGene Regulatory NetworksGenetic Diseases, InbornHumansMitogen-Activated Protein KinasesModels, BiologicalNonlinear DynamicsPhosphatesPhosphorylationSignal TransductionThermodynamicsAdenosine DiphosphateAdenosine TriphosphateMitogen-Activated Protein KinasesPhosphates

Identifiers

PMID27762233
PMCPMC8687434

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.