Validation of signaling pathways: case study of the p16-mediated pathway


Show simple item record Akçay, Nimet İlke Bashirov, Rza Tüzmen, Şükrü 2016-01-18T10:19:36Z 2016-01-18T10:19:36Z 2015
dc.identifier.citation Akcay, Nimet Ilke, Bashirov, Rza, Tuzmen, Sukru (2015) Validation of signalling pathways: case study of the p16-mediated pathway, Journal of Bioinformatics and Computational Biology, Imperial College Press, 13(2) DOI:10.1142/S0219720015500079 (indexed in SCIE). en_US
dc.identifier.issn 0219-7200
dc.identifier.issn 1757-6334
dc.identifier.other DOI: 10.1142/S0219720015500079
dc.description The file in this item is the post-print version of the article (author’s copy; author’s final manuscript, accepted for publication after peer-review process). Due to copyright restrictions, the access to the publisher version (published version) of this article is only available via subscription. You may click URI (with DOI: 10.1142/S0219720015500079) and have access to the Publisher Version of this article through the publisher web site or online databases, if your Library or institution has subscription to the related journal or publication.
dc.description.abstract p16 is recognized as a tumor suppressor gene due to the prevalence of its genetic inactivation in all types of human cancers. Additionally, p16 gene plays a critical role in controlling aging, regulating cellular senescence, detection and maintenance of DNA damage. The molecular mechanism behind these events involves p16-mediated signaling pathway (or p16-Rb pathway), the focus of our study. Understanding functional dependence between dynamic behavior of biological components involved in the p16-mediated pathway and aforesaid molecular-level events might suggest possible implications in the diagnosis, prognosis and treatment of human cancer. In the present work, we employ reverse-engineering approach to construct the most detailed computational model of p16-mediated pathway in higher eukaryotes. We implement experimental data from the literature to validate the model, and under various assumptions predict the dynamic behavior of p16 and other biological components by interpreting the simulation results. The quantitative model of p16-mediated pathway is created in a systematic manner in terms of Petri net technologies. en_US
dc.language.iso en_US en_US
dc.publisher Journal of Bioinformatics and Computational Biology, World Scientific Publishing en_US
dc.subject Signaling pathway en_US
dc.subject p16-mediated pathway en_US
dc.subject Hybrid functional Petri net en_US
dc.subject Quantitative modeling en_US
dc.title Validation of signaling pathways: case study of the p16-mediated pathway en_US
dc.type Article en_US
dc.description.version Post-Print Author Version (Final Author Manuscript, accepted for publication, after peer-review process).

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