A probabilistic framework for the exploration of enzymatic capabilities based on feasible kinetics and control analysis
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- 作者：Pedro A. Saa ; Lars K. Nielsen ; lars.nielsen@uq.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Enzyme kinetics ; Control analysis ; Rate-limiting steps ; Sequential Monte Carlo ; Bayesian inference
- 刊名：Biochimica et Biophysica Acta (BBA) - General Subjects
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：1860
- 期：3
- 页码：576-587
- 全文大小：1871 K
文摘
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Novel probabilistic framework for single-enzyme control analysis under uncertainty.
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Framework enables feasible analysis of complex kinetics with modest information.
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Results revealed impact of thermodynamics and substrate saturation on kinetics.
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Findings highlight importance of metabolic context on kinetic analysis.