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10.1371/journal.pone.0133825 http://scihub22266oqcxt.onion/10.1371/journal.pone.0133825 C4574446!4574446 !26376088     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26376088 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+One 2015 ; 10 (9 ): e0133825 Nephropedia Template TP {{tp|p=26376088 |t=2015. Multi-Target Analysis and Design of Mitochondrial Metabolism |pdf=|usr=}}{{26376088 }} gab.com Text Multi-Target Analysis and Design of Mitochondrial Metabolism JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26376088 #FOAvip Analyzing and optimizing biological models is often identified as a research priority in biomedical engineering. An important feature of a model should be the ability to find the best condition in which an organism has to be grown in order to reach specific optimal output values chosen by the researcher. In this work, we take into account a mitochondrial model analyzed with flux-balance analysis. The optimal design and assessment of these models is achieved through single- and/or multi-objective optimization techniques driven by epsilon-dominance and identifiability analysis. Our optimization algorithm searches for the values of the flux rates that optimize multiple cellular functions simultaneously. The optimization of the fluxes of the metabolic network includes not only input fluxes, but also internal fluxes. A faster convergence process with robust candidate solutions is permitted by a relaxed Pareto dominance, regulating the granularity of the approximation of the desired Pareto front. We find that the maximum ATP production is linked to a total consumption of NADH, and reaching the maximum amount of NADH leads to an increasing request of NADH from the external environment. Furthermore, the identifiability analysis characterizes the type and the stage of three monogenic diseases. Finally, we propose a new methodology to extend any constraint-based model using protein abundances. Twit Text FOAVip Multi-Target Analysis and Design of Mitochondrial Metabolism ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26376088 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26376088 #FOAvip English Wikipedia <ref>{{Cite pmid|26376088 }}</ref> Multi-Target Analysis and Design of Mitochondrial Metabolism #MMPMID26376088 Angione C ; Costanza J ; Carapezza G ; Lió P ; Nicosia G PLoS One 2015[]; 10 (9 ): e0133825 PMID26376088 show ga Analyzing and optimizing biological models is often identified as a research priority in biomedical engineering. An important feature of a model should be the ability to find the best condition in which an organism has to be grown in order to reach specific optimal output values chosen by the researcher. In this work, we take into account a mitochondrial model analyzed with flux-balance analysis. The optimal design and assessment of these models is achieved through single- and/or multi-objective optimization techniques driven by epsilon-dominance and identifiability analysis. Our optimization algorithm searches for the values of the flux rates that optimize multiple cellular functions simultaneously. The optimization of the fluxes of the metabolic network includes not only input fluxes, but also internal fluxes. A faster convergence process with robust candidate solutions is permitted by a relaxed Pareto dominance, regulating the granularity of the approximation of the desired Pareto front. We find that the maximum ATP production is linked to a total consumption of NADH, and reaching the maximum amount of NADH leads to an increasing request of NADH from the external environment. Furthermore, the identifiability analysis characterizes the type and the stage of three monogenic diseases. Finally, we propose a new methodology to extend any constraint-based model using protein abundances. |*Metabolic Flux Analysis [MESH] |Adenosine Triphosphate/biosynthesis [MESH] |Algorithms [MESH] |Ketoglutarate Dehydrogenase Complex/deficiency [MESH] |Mitochondria/*metabolism [MESH] |Mitochondrial Proteins/metabolism [MESH] |Models, Biological [MESH] |NAD/metabolism [MESH]Multi-Target Analysis and Design of Mitochondrial Metabolism (epmc).pdf DeepDyve Pubget Overpricing