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Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches.

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Title: Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches.
Authors: Koch, Ina1 ina.koch@bioinformatik.uni-frankfurt.de, Büttner, Bianca1
Source: American Journal of Physiology: Cell Physiology. May2023, Vol. 324 Issue 5, pC1126-C1140. 15p.
Database: Academic Search Ultimate
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  Data: Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches.
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  Data: <searchLink fieldCode="AR" term="%22Koch%2C+Ina%22">Koch, Ina</searchLink><relatesTo>1</relatesTo><i> ina.koch@bioinformatik.uni-frankfurt.de</i><br /><searchLink fieldCode="AR" term="%22Büttner%2C+Bianca%22">Büttner, Bianca</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Physiology%3A+Cell+Physiology%22">American Journal of Physiology: Cell Physiology</searchLink>. May2023, Vol. 324 Issue 5, pC1126-C1140. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=163878386
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      – Type: doi
        Value: 10.1152/ajpcell.00487.2022
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: C1126
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      – TitleFull: Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches.
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              Text: May2023
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              Y: 2023
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