Towards kinetic modeling of metabolic networks with incomplete parameters
Modeling is an important direction in systems biology.The target towards kinetic modeling for metabolic network is to develop a practical computational method which can handle incomplete parameters.In principle,we could start with a set of randomly chosen parameters; calculating fluxes and metabolites concentration and comparing with experiments; iterating until the best parameters are found.But the large parametric space may require billions of times of iterations.In order to overcome such a difficulty,we develop a method to obtain the structure of parametric space.We are able to discover the correlation between parameters and variables,which is helpful for us to estimate the possible value of parameters.Differ from previous method,the implicit relationship between parameter and variable are also provided directly by our method,which provides a potential for us to analyze the feature of metabolic network.
kinetic model metabolic network maximum reaction rate
Wei Zheng Xiaomei Zhu Yongcong Chen Paohung Lin Ping Ao
Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicin Gene Math, 5525 27th Ave. N.E., Seattle, WA 98105, USA Smart Win Technology, 46 Tranmere Ave, Carnegie, VIC 3163, Australia Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei,
国际会议
7th International Conference on Systems Biology(第7届计算系统生物学国际研讨会)(ISB2013)
安徽黄山
英文
97-102
2013-08-22（万方平台首次上网日期，不代表论文的发表时间）