Title :
Gene Knockout Study in Reduced Kidney Metabolic Network
Author :
Ding De-wu ; Peng Xiu-fen
Author_Institution :
Dept. of Math. & Comput. Sci., Chizhou Coll., Chizhou, China
Abstract :
As human metabolic network models become available, medical and pharmaceutical applications of these models are becoming feasible nowadays, and thus reconstruction and analysis of genome-scale models for human tissue-specific metabolism is becoming an excellent starting effort into the systems medicine era. Due to its significance for human physiology, a kidney metabolic model is studied with flux balance analysis in the present paper. The reduced metabolic model of human kidney used in the paper contains 276 genes, 340 metabolites and 443 metabolic reactions. We then investigated the optimal flux distributions and single/double gene deletion simulation of the model based on flux balance analysis.
Keywords :
biochemistry; genetics; kidney; molecular biophysics; physiological models; double gene deletion simulation; flux balance analysis; gene knockout study; genes; genome scale model analysis; genome scale model reconstruction; human kidney reduced metabolic model; human metabolic network models; human tissue specific metabolism; kidney metabolic model; metabolic reactions; metabolites; optimal flux distributions; reduced kidney metabolic network; single gene deletion simulation; Analytical models; Biochemistry; Bioinformatics; Computational modeling; Genomics; Humans; Kidney;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873450
