International Science Community Association International Research Journal of Biological Sciences 2278 - 3202 2 2 2013 February 10 A Radiation Carcinogenesis Model Applied to Radon- Induced Lung Cancer Risk Prediction Using a Sugarscape Cellular Automaton 34 39 EN Farzaneh Hosseini 1 Faculty of Bioscience, Department of Microbiology, Islamic Azad University, North Tehran Branch, Tehran, IRAN Adlgostar Afsoon 2 Faculty of Bioscience, Department of Biology, Islamic Azad University, North Tehran Branch, Tehran, IRAN Fariba Sharifnia 3 Panchal HetalK. 1 Dolat Usha Institute of Applied Sciences, Valsad; Veer Narmad South Gujarat University, Surat, Gujarat, INDIA Trivedi RatnaA. 2 Shree Ram Krishna Institute of Comp. Edu. and Applied Sciences; Veer Narmad South Gujarat University, Surat, Gujarat, INDIA Desai PratibhaB. 3 Venkata Saibabu 1 Dept. of Biochemistry, Center for Post Graduate Studies, Jain University, Jayanagar 3rd Block, Bangalore-560011, Karnataka, INDIA Francois NiyongaboNiyonzima 2 More SunilS. 3 Choubey K. 1 Deptt. of Zoology, G.V.Y.T. College, Durg, CG, INDIA Qureshi Y. 2 Deptt. of Zoology, Govt. College, Khertha, Distt. Balod, CG, INDIA Kulkarni D.A. 1 Department of Zoology, S.M.D.M. Mahavidyalyaya, Kallamb, Dist. Osmanabad, MS, INDIA Surwase S.S. 2 Department of Zoology, Rajaram College, Kolhapur, MS, INDIA NoorAzlina Ibrahim 1 Faculty of Agro Based Industry, Universiti Malaysia Kelantan (Jeli Campus), Locked Bag No. 100, 17600 Jeli, Kelantan, MALAYSIA Yusoff Norazila 2 Baradaran Samaneh 1 Department of Medical Radiation Engineering, Amirkabir University of Technology, Tehran, IRAN Setayeshi Saeed 2 Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, IRAN Niaz Maleknasr 3 Radiation Application School, Nuclear Sciences and Technology Research Institute, Tehran, IRAN Kardan MohammadR. 4 > Research Paper 2012 11 18 2013 February 10 Exposure to Radon and its decay products is one of the important risks of ionizing radiation from natural sources. It is the second leading cause of lung cancer after smoking in the world. This special characteristic makes an increase in methods and models of lung cancer risk prediction from Radon. In this paper, we present a stochastic cellular automaton based on sugarscape to computational study complex biological effect of radon progeny alpha particles in lung bronchial airways. Our major objective is an assessment of lung cancer risk by following mechanism of cell action in different radiation doses. The model included mechanism of DNA damage induced alpha particles hits and formation of transformation in the lung cells. To achieve our goal, we follow the metabolism rate of infected cell induced alpha particles traversals in sugarscape environment to reach oncogenic transformation. For the first time, a cellular automata model is used to calculate transformation frequency in lung bronchial airways induced Radon and to predict lung cancer risk. The results are validated by a comparison epidemiological data, dosimetric and biological models. It has been shown that the cellular automata using sugarscape model could be a suitable method for cancer risk prediction. Copyright@ International Science Community Association