Abstracts

Information biology

Development of the methods of mathematical modeling of biological systems and their practical application to particular cases comprise an important field of future development of bioinformatics. The adequate mathematical models of complex nonlinear gene networks regulating cholesterol cell synthesis and erythroid cell differentiation are pivotal points for analysis of gene network functioning patterns and for working out optimal strategies for their correction, including a therapeutic approach. Two versions of the gene network model on cholesterol cell synthesis, in haploid and diploid organisms, and dynamic model of gene network on erythroid cell differentiation have been constructed. The models are described in terms of elementary processes, or biochemical reactions. The optimal set of parameters of these models has been estimated. The patterns of these systems under different conditions have been simulated numerically. The graphical user interface of the models developed is available at http://sgi.sscc.ru/mgs/gnw/genenet/

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©2001, Siberian Branch of Russian Academy of Science, Novosibirsk
©2001, United Institute of Computer Science SB RAS, Novosibirsk
©2001, Institute of Computational Techologies SB RAS, Novosibirsk
©2001, A.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk
©2001, Institute of Mathematics SB RAS, Novosibirsk
©2001, Institute of Cytology and Genetics SB RAS, Novosibirsk
©2001, Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk
©2001, Novosibirsk State University
Last modified 06-Jul-2012 (11:45:21)