Department of Physiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, USA.
J Phys Chem B. 2010 Dec 16;114(49):16068-82. doi: 10.1021/jp911381p. Epub 2010 May 6.
Analysis of biochemical systems requires reliable and self-consistent databases of thermodynamic properties for biochemical reactions. Here a database of thermodynamic properties for the reactions of glycolysis and the tricarboxylic acid cycle is developed from measured equilibrium data. Species-level free energies of formation are estimated on the basis of comparing thermodynamic model predictions for reaction-level equilibrium constants to previously reported data obtained under different experimental conditions. Matching model predictions to the data involves applying state corrections for ionic strength, pH, and metal ion binding for each input experimental biochemical measurement. By archiving all of the raw data, documenting all model assumptions and calculations, and making the computer package and data available, this work provides a framework for extension and refinement by adding to the underlying raw experimental data in the database and/or refining the underlying model assumptions. Thus the resulting database is a refinement of preexisting databases of thermodynamics in terms of reliability, self-consistency, transparency, and extensibility.
分析生化系统需要可靠且自洽的生化反应热力学性质数据库。本研究从测量得到的平衡数据中开发了糖酵解和三羧酸循环反应的热力学性质数据库。基于比较反应水平平衡常数的热力学模型预测与先前在不同实验条件下获得的数据,对物种水平的生成自由能进行了估计。为了使模型预测与数据匹配,需要针对每个输入实验生化测量值应用离子强度、pH 和金属离子结合的状态修正。通过归档所有原始数据、记录所有模型假设和计算,并提供计算机程序包和数据,这项工作为扩展和完善提供了框架,可以通过向数据库中添加基础原始实验数据和/或改进基础模型假设来实现。因此,与现有热力学数据库相比,该数据库在可靠性、自洽性、透明度和可扩展性方面得到了改进。