Differentiation resistance through altered retinoblastoma protein function in acute lymphoblastic leukemia: in silico modeling of the deregulations in the G1/S restriction point pathway

Author:

Ouzounoglou Eleftherios,Dionysiou Dimitra,Stamatakos Georgios S.

Funder

European Union Seventh Framework Programme (BE), p-medicine project

European Union Seventh Framework Programme (BE), CHIC project

European Union Seventh Framework Programme (BE), MyHealthAvatar project

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Reference78 articles.

1. Stamatakos G, Dionysiou D, Lunzer A, Belleman R, Kolokotroni E, Georgiadi E, et al. The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology context. IEEE J Biomed Health Inform. 2014;18:840–54.

2. Stamatakos GS, Graf N, Radhakrishnan R. Multiscale cancer modeling and in silico oncology: emerging computational frontiers in basic and translational cancer research. J Bioeng Biomed Sci. 2013;3:E114.

3. Kolokotroni E, Ouzounoglou E, Stanulla M, Dionysiou D, Stamatakos GS. In Silico Oncology: Developing and Clinically Adapting the Acute Lymphoblastic Leukemia (ALL) Oncosimulator by Exploiting Pathway Based Gene Expression Analysis in the Context of the ALL-BFM 2000 Clinical Study. Virtual Physiological Human Conference 2014 (VPH 2014). In Virtual Physiological Human Conference 2014 (VPH 2014). Trondheim, Norway.

4. p-medicine – Grant Agreement no. 270089 Deliverable No. 12.3 Report on the development of the Oncosimulator and the utilization of the biomechanism models. 2013. http://p-medicine.eu/fileadmin/p-medicine/public_website/downloads/p-medicine_270089_D12-3_Report_on_the_development_of_the_Oncosimulator_and_the_utilization_of_the_biomechanism_models.pdf . Accessed 2 May 2015.

5. p-medicine – Grant Agreement no. 270089 Deliverable No. 12.4 Report on the clinical adaptation and optimization of the Oncosimulator models. In silico studies. 2014. http://p-medicine.eu/fileadmin/p-medicine/public_website/downloads/p-medicine_270089_D12-4_Report_on_clinical_adaptation_and_optimization_of_Oncosimulator_models_v4-0.pdf . Accessed 2 May 2015.

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