title: A stochastic version of corticosteriod pharmacogenomic model.
abstract: The purpose of this study was to develop a stochastic version of corticosteriod fifth generation pharmacogenomic model. The Gillespie algorithm was used to generate the independent time courses of the receptor messenger RNA (mRNA). Initial parameters for the stochastic simulation were adapted from the study by Jin et al. The result obtained from the proposed stochastic model showed an overall agreement with the deterministic fifth generation model. This study suggested that because the stochastic model takes into account the "noise" nature of gene regulation, it would have potential application in pharmacogenomic modeling.
authors.affiliation: National Pharmaceutical Engineering Research Center, No. 1111 Zhongshanbeiyi Road, Shanghai 200437, China. xiaohong.qi@andrx.com
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Qi
mesh_terms: D000305:Adrenal Cortex Hormones / Q000494:pharmacology*; D000465:Algorithms; D003198:Computer Simulation; D025461:Feedback, Physiological; D005786:Gene Expression Regulation / Q000187:drug effects; D006801:Humans; D020128:Inhibitory Concentration 50; D007700:Kinetics; D008954:Models, Biological; D009010:Monte Carlo Method; D010597:Pharmacogenetics / Q000379:methods* / Q000706:statistics & numerical data; D011336:Probability; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D011897:Random Allocation; D011965:Receptors, Glucocorticoid / Q000096:biosynthesis / Q000235:genetics*; D013269:Stochastic Processes; D014158:Transcription, Genetic / Q000187:drug effects
chemical_list: D000305:Adrenal Cortex Hormones; D012333:RNA, Messenger; D011965:Receptors, Glucocorticoid