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Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 105  

The effect of diffused drug and noise in the stochastic model of rat hepatocytes


1 Department of Computer Science, Jamia Millia Islamia, New Delhi-110025, India
2 Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi - 110025, India
3 School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India

Date of Web Publication26-May-2012

Correspondence Address:
Shahnawaz ali
Department of Computer Science, Jamia Millia Islamia, New Delhi-110025
India
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Source of Support: None, Conflict of Interest: None


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How to cite this article:
Md. Badruzzaman, Malik M, Alam M, Devi G R, Ravins, Brojen Singh R K, ali S, Mobeen F, Khan FI. The effect of diffused drug and noise in the stochastic model of rat hepatocytes. J Nat Sc Biol Med 2011;2, Suppl S1:105

How to cite this URL:
Md. Badruzzaman, Malik M, Alam M, Devi G R, Ravins, Brojen Singh R K, ali S, Mobeen F, Khan FI. The effect of diffused drug and noise in the stochastic model of rat hepatocytes. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Jul 16];2, Suppl S1:105. Available from: http://www.jnsbm.org/text.asp?2011/2/3/105/96199

We study stochastic model of drug (Methylprednisolone) diffusion in rat hepatocytes and the impact of diffused drug in the cellular processes. The simple model involves various protein-protein interaction and protein-drug interaction pathways. We used stochastic simulation algorithm due to Gillespie in order to simulate the temporal dynamics of various proteins and drugs involved in these interaction. We found that the dynamics of mRNA and receptor (R) to be saturated after sometime (~10-20 hours). We also found that the decrease in drug population systematically as a function of time. Further we studied how the dynamics of each protein changes as a function of system size (V) and found that the population of each protein increases as V increases. Noise is always involved with each protein and drug dynamics.




 

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