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Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast.

Pang W, Coghill GM - BioSystems (2015)

Bottom Line: This model was then simulated qualitatively, semi-quantitatively, and quantitatively.The obtained simulation results are presented with an analysis.Finally the future development of the Morven framework for modelling the dynamic biological systems is discussed.

View Article: PubMed Central - PubMed

Affiliation: School of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, UK. Electronic address: pang.wei@abdn.ac.uk.

No MeSH data available.


The total envisionment of the biophysical model.
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fig0015: The total envisionment of the biophysical model.

Mentions: The exogenous variable Πe may take three different qualitative values: 〈positive, zero〉, 〈positive, negative〉, and 〈positive, positive〉. Fig. 3 shows the total envisionment (described in Section 2.3) when Πe takes the above three qualitative values. The qualitative states in this envisionment are listed in Table 3. In this table, “+”, “0”, and “−” represent positive, zero, and negative in the signs quantity space, respectively.


Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast.

Pang W, Coghill GM - BioSystems (2015)

The total envisionment of the biophysical model.
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4441110&req=5

fig0015: The total envisionment of the biophysical model.
Mentions: The exogenous variable Πe may take three different qualitative values: 〈positive, zero〉, 〈positive, negative〉, and 〈positive, positive〉. Fig. 3 shows the total envisionment (described in Section 2.3) when Πe takes the above three qualitative values. The qualitative states in this envisionment are listed in Table 3. In this table, “+”, “0”, and “−” represent positive, zero, and negative in the signs quantity space, respectively.

Bottom Line: This model was then simulated qualitatively, semi-quantitatively, and quantitatively.The obtained simulation results are presented with an analysis.Finally the future development of the Morven framework for modelling the dynamic biological systems is discussed.

View Article: PubMed Central - PubMed

Affiliation: School of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, UK. Electronic address: pang.wei@abdn.ac.uk.

No MeSH data available.