首页> 外文期刊>Mathematical Biosciences: An International Journal >Conceptual, methodological and computational issues concerning the compartmental modeling of a complex biological system: Postprandial inter-organ metabolism of dietary nitrogen in humans
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Conceptual, methodological and computational issues concerning the compartmental modeling of a complex biological system: Postprandial inter-organ metabolism of dietary nitrogen in humans

机译:有关复杂生物系统的区室建模的概念,方法和计算问题:人体膳食氮的餐后器官间代谢

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A multi-compartmental model has been developed to describe dietary nitrogen (N) postprandial distribution and metabolism in humans. This paper details the entire process of model development, including the successive steps of its construction, parameter estimation and validation. The model was built using experimental data on dietary N kinetics in certain accessible pools of the intestine, blood and urine in healthy adults fed a [N-15]-labeled protein meal. A 13-compartment, 21-parameter model was selected from candidate models of increasing order as being the minimum structure able. to properly fit experimental data for all sampled compartments. Problems of theoretical identifiability and numerical identification of the model both constituted mathematical challenges that were difficult to solve because of the large number of unknown parameters and the few experimental data available. For this reason, new robust and reliable methods were applied, which enabled (i) a check that all model parameters could theoretically uniquely be determined and (ii) an estimation of their numerical values with satisfactory precision from the experimental data. Finally, model validation was completed by first verifying its a posteriori identifiability and then carrying out external validation. (c) 2006 Elsevier Inc. All rights reserved.
机译:已开发出一种多室模型来描述人类饮食中氮(N)的餐后分布和代谢。本文详细介绍了模型开发的整个过程,包括模型构建,参数估计和验证的后续步骤。该模型是使用实验数据建立的,这些数据是在饲喂[N-15]标记蛋白粉的健康成年人中,某些可利用的肠道,血液和尿液中氮在饮食中的动力学特性。从具有递增顺序的候选模型中选择一个13个隔室,21个参数的模型作为最小结构。以正确拟合所有采样隔室的实验数据。理论上的可识别性和模型的数值识别问题都构成了数学难题,由于大量未知参数和可用的实验数据很少,因此很难解决。因此,应用了新的鲁棒且可靠的方法,该方法能够(i)检查所有模型参数在理论上都可以唯一确定,以及(ii)从实验数据中以令人满意的精度估算其数值。最后,通过首先验证其后验可识别性,然后执行外部验证来完成模型验证。 (c)2006 Elsevier Inc.保留所有权利。

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