Oshchepkova-Nedosekina Evgeniya A, Likhoshvai Vitalii A
Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
Theor Biol Med Model. 2007 Feb 27;4:11. doi: 10.1186/1742-4682-4-11.
Development of the mathematical models that adequately describe biochemical reactions and molecular-genetic mechanisms is one of the most important tasks in modern bioinformatics. Because the enzyme adenylosuccinate synthetase (AdSS) has long been extensively studied, a wealth of kinetic data has been accumulated.
We describe a mathematical model for the reaction catalyzed by AdSS. The model's parameters were fitted to experimental data obtained from published literature. The advantage of our model is that it includes relationships between the reaction rate, the concentrations of three substrates (GTP, IMP and ASP), the effects of five inhibitors (GMP, GDP, AMP, ASUC and SUCC), and the influence of Mg2+ ions.
Our model describes the reaction catalyzed by AdSS as a fully random process. The model structure implies that each of the inhibitors included in it is only competitive to one of the substrates. The model was tested for adequacy using experimental data published elsewhere. The values obtained for the parameters are as follows: Vmax = 1.35.10-3 mM/min, KmGTP = 0.023 mM, KmIMP = 0.02 mM, KmASP = 0.3 mM, KiGMP = 0.024 mM, KiGDP = 8.10-3 mM, KiAMP = 0.01 mM, KiASUC = 7.5.10-3 mM, KiSUCC = 8 mM, KmMg = 0.08 mM.
开发能够充分描述生化反应和分子遗传机制的数学模型是现代生物信息学中最重要的任务之一。由于长期以来对腺苷酸琥珀酸合成酶(AdSS)进行了广泛研究,已积累了大量动力学数据。
我们描述了一个AdSS催化反应的数学模型。该模型的参数根据从已发表文献中获得的实验数据进行拟合。我们模型的优点在于它包含了反应速率、三种底物(GTP、IMP和ASP)浓度之间的关系、五种抑制剂(GMP、GDP、AMP、ASUC和SUCC)的影响以及Mg2+离子的作用。
我们的模型将AdSS催化的反应描述为一个完全随机的过程。模型结构表明其中包含的每种抑制剂仅对一种底物具有竞争性。使用其他地方发表的实验数据对该模型的适用性进行了测试。获得的参数值如下:Vmax = 1.35×10-3 mM/min,KmGTP = 0.023 mM,KmIMP = 0.02 mM,KmASP = 0.3 mM,KiGMP = 0.024 mM,KiGDP = 8×10-3 mM,KiAMP = 0.01 mM,KiASUC = 7.5×10-3 mM,KiSUCC = 8 mM,KmMg = 0.08 mM。