J. Comput. Biol. - Continuous-time Markov chain-based flux analysis in metabolism.

Tópicos

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Resumo

Metabolic flux analysis (MFA), a key technology in bioinformatics, is an effective way of analyzing the entire metabolic system by measuring fluxes. Many existing MFA approaches are based on differential equations, which are complicated to be solved mathematically. So MFA requires some simple approaches to investigate metabolism further. In this article, we applied continuous-time Markov chain to MFA, called MMFA approach, and transformed the MFA problem into a set of quadratic equations by analyzing the transition probability of each carbon atom in the entire metabolic system. Unlike the other methods, MMFA analyzes the metabolic model only through the transition probability. This approach is very generic and it could be applied to any metabolic system if all the reaction mechanisms in the system are known. The results of the MMFA approach were compared with several chemical reaction equilibrium constants from early experiments by taking pentose phosphate pathway as an example.

Resumo Limpo

metabol flux analysi mfa key technolog bioinformat effect way analyz entir metabol system measur flux mani exist mfa approach base differenti equat complic solv mathemat mfa requir simpl approach investig metabol articl appli continuoustim markov chain mfa call mmfa approach transform mfa problem set quadrat equat analyz transit probabl carbon atom entir metabol system unlik method mmfa analyz metabol model transit probabl approach generic appli metabol system reaction mechan system known result mmfa approach compar sever chemic reaction equilibrium constant earli experi take pentos phosphat pathway exampl

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