Stochastic Simulation-based Prediction of the Behavior of the p16-mediated Signaling Pathway

• Autorzy: Bashirov R. , Akçay N. İ

Identyfikatory

DOI

10.3233/FI-2018-1679

• Języki publikacji: EN

Abstrakty

EN

In this work we use hybrid Petri nets to create a model of the p16-mediated signaling pathway in higher eukaryotes and conduct its stochastic simulation-based validation by wet lab observations available from literature. The validation is conducted in terms of stochastic simulations with respect to the wild-type p16 protein and its mutated form. Our model catches the behavior of the major molecular regulators of the p16-mediated signaling pathway in wild-type cells as well as when DNA damage is detected or replicative senescence occurs. We observe that the stochastic model predicts some characteristics of the underlying pathway more clearly, evidently and perspicuously compared to the deterministic model, enriching the breadth and the quality of the outcome.

Słowa kluczowe

EN

stochastic quantitative modeling; snoopy; hybrid Petri nets; p16-mediated signaling pathway

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2018
• Tom: Vol. 160, nr 1/2
• Strony: 167--179
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr.

Twórcy

autor

Bashirov R.

• Department of Applied Mathematics and Computer Science, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta, North Cyprus, Mersin-10, Turkey

autor

Akçay N. İ

• Faculty of Medicine, Eastern Mediterranean University, Famagusta, North Cyprus, Mersin-10, Turkey

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).