کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2078816 | 1545045 | 2008 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimation of Intracellular Flux Distribution under Underdetermined and Uncertain Conditions by Maximum Entropy Principle
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوتکنولوژی یا زیستفناوری
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In silico simulation is much more powerful and reliable than before for the bioprocess analysis and optimization in the fields of metabolic engineering and systems biology. The intracellular flux distribution could be estimated by Metabolic Flux Analysis (MFA) and Elementary Mode Analysis (EMA). It is always difficult to obtain an accurate flux distribution due to the insufficiencies, the measurement errors of the experimental data and the redundancy of EMs. An algorithm has been proposed to determine the Elementary Mode Coefficients (EMCs) by the maximum entropy principle (MEP). The intracellular flux distribution is calculated from the extracellular fluxes under underdetermined and uncertain conditions. To demonstrate the feasibility of this algorithm, it is used to estimate of the intracellular flux distribution for hybridoma, Escherichia coli and Bacillus subtilis. The MEP algorithm avoids any physiological hypotheses for the cellular states. It is reliable and feasible for the estimation of the intracellular flux distribution compared with other objective functions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Biotechnology - Volume 24, Issue 12, December 2008, Pages 2135-2136
Journal: Chinese Journal of Biotechnology - Volume 24, Issue 12, December 2008, Pages 2135-2136
نویسندگان
Quanyu Zhao, Hiroyuki Kurata,