Modular bond‐graph modelling and analysis of biomolecular systems
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2016/10/01
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Journal
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Indian UGC (journal)
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Refrences85
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Citations23
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Peter J. Gawthrop Systems Biology Laboratory, Melbourne School of Engineering, University of MelbourneVictoria3010AustraliaDepartment of Electrical and Electronic EngineeringMelbourne School of Engineering, University of MelbourneVictoria3010AustraliaCentre for Systems Genomics, University of MelbourneVictoria3010Australia ORCID (unauthenticated)
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Edmund J. Crampin Systems Biology Laboratory, Melbourne School of Engineering, University of MelbourneVictoria3010AustraliaCentre for Systems Genomics, University of MelbourneVictoria3010AustraliaSchool of Mathematics and Statistics, University of MelbourneVictoria3010AustraliaSchool of Medicine, University of MelbourneVictoria3010AustraliaARC Centre of Excellence in Convergent Bio-Nano Science, Melbourne School of Engineering, University of MelbourneVictoria3010Australia ORCID (unauthenticated)
Cite
Gawthrop, Peter J., and Edmund J. Crampin. “Modular bond‐graph Modelling and Analysis of Biomolecular Systems”. IET Systems Biology, vol. 10, no. 5, 2016, pp. 187-01, https://doi.org/10.1049/iet-syb.2015.0083.
Gawthrop, P. J., & Crampin, E. J. (2016). Modular bond‐graph modelling and analysis of biomolecular systems. IET Systems Biology, 10(5), 187-201. https://doi.org/10.1049/iet-syb.2015.0083
Gawthrop PJ, Crampin EJ. Modular bond‐graph modelling and analysis of biomolecular systems. IET Systems Biology. 2016;10(5):187-201.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Biology (General)
Cytology
Science
Chemistry
Organic chemistry
Biochemistry
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A Multifunctional Controller Realized by Biochemical Reactions | SICE Journal of Control, Measurement, and System Integration |
| 3 | 2015 |
Irreversible thermodynamics of open chemical networks. I. Emergent cycles and broken conservation laws | The Journal of Chemical Physics |
| 82 | 2014 |
| A Reappraisal of How to Build Modular, Reusable Models of Biological Systems | PLOS Computational Biology |
| 32 | 2014 |
Signalling by protein phosphatases and drug development: a systems‐centred view | The FEBS Journal |
| 39 | 2013 |
| On the mathematical structure of balanced chemical reaction networks governed by mass action kinetics | SIAM Journal on Applied Mathematics |
| 2013 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Sensitivity analysis of biochemical systems using bond graphs | Journal of The Royal Society Interface |
| 2023 | |
| Network thermodynamics of biological systems: A bond graph approach | Mathematical Biosciences |
| 4 | 2022 |
| SBML to bond graphs: From conversion to composition | Mathematical Biosciences |
| 2022 | |
| Uncovering cross-bridge properties that underlie the cardiac active complex modulus using model linearisation techniques | Mathematical Biosciences |
| 1 | 2022 |
| Open problems in mathematical biology | Mathematical Biosciences |
| 6 | 2022 |
Citations Analysis
The category
Science: Biology (General) 16
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Meeting the multiscale challenge: representing physiology processes over ApiNATOMY circuits using bond graphs and was published in 2017. The most recent citation comes from a 2023 study titled Sensitivity analysis of biochemical systems using bond graphs. This article reached its peak citation in 2022, with 7 citations. It has been cited in 15 different journals, 33% of which are open access. Among related journals, the Mathematical Biosciences cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.