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Browsing Department of Mathematics by Subject "Hybrid functional Petri net"

Now showing items 1-4 of 4

Identifying targets for gene therapy of β-globin disorders using quantitative modeling approach

Bashirov, Rza; Mehraei, Mani (Elsevier, 2017-08)

Sickle cell disease and β-thalassemia are well-known genetic disorders which are caused by mutations in β-globin gene. Reactivation of fetal hemoglobin in adulthood through induction of γ-globin gene expression has proven ...
Petri Net-Based Quantitative Modeling and Validation of p16-mediated Signaling Pathway

Akçay, Nimet İlke (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2016)

It has been a few decades since computer-based quantitative modeling methods are being applied to biological systems for enabling illustration and investigation of biological processes in a realistic way. One of the various ...
Target based drug discovery for beta-globin disorders: Drug target prediction using quantitative modelling with hybrid functional Petri nets

Mehraei, Mani; Bashirov, Rza; Tüzmen, Şükrü (2016-01-18)

Recent molecular studies provide important clues into treatment of beta-thalassemia, sickle-cell anaemia and other beta-globin disorders revealing that increased production of fetal hemoglobin, that is normally suppressed ...
Validation of signaling pathways: case study of the p16-mediated pathway

Akçay, Nimet İlke; Bashirov, Rza; Tüzmen, Şükrü (Journal of Bioinformatics and Computational Biology, World Scientific Publishing, 2015)

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, ...