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首页> 美国卫生研究院文献>Biochemical Journal >An artificial-intelligence technique for qualitatively deriving enzyme kinetic mechanisms from initial-velocity measurements and its application to hexokinase.
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An artificial-intelligence technique for qualitatively deriving enzyme kinetic mechanisms from initial-velocity measurements and its application to hexokinase.

机译：一种从初始速度测量定性推导酶动力学机制的人工智能技术及其在己糖激酶中的应用。

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摘要

We have developed a computer method based on artificial-intelligence techniques for qualitatively analysing steady-state initial-velocity enzyme kinetic data. We have applied our system to experiments on hexokinase from a variety of sources: yeast, ascites and muscle. Our system accepts qualitative stylized descriptions of experimental data, infers constraints from the observed data behaviour and then compares the experimentally inferred constraints with corresponding theoretical model-based constraints. It is desirable to have large data sets which include the results of a variety of experiments. Human intervention is needed to interpret non-kinetic information, differences in conditions, etc. Different strategies were used by the several experimenters whose data was studied to formulate mechanisms for their enzyme preparations, including different methods (product inhibitors or alternate substrates), different experimental protocols (monitoring enzyme activity differently), or different experimental conditions (temperature, pH or ionic strength). The different ordered and rapid-equilibrium mechanisms proposed by these experimenters were generally consistent with their data. On comparing the constraints derived from the several experimental data sets, they are found to be in much less disagreement than the mechanisms published, and some of the disagreement can be ascribed to different experimental conditions (especially ionic strength).
机译：我们已经开发了一种基于人工智能技术的计算机方法，用于定性分析稳态初始速度酶动力学数据。我们已将我们的系统应用于各种来源的己糖激酶的实验：酵母，腹水和肌肉。我们的系统接受实验数据的定性风格描述，从观察到的数据行为推断出约束，然后将实验推断出的约束与相应的基于理论模型的约束进行比较。期望具有包括各种实验结果的大数据集。需要人工干预来解释非动力学信息，条件差异等。几个实验者使用了不同的策略，对他们的数据进行了研究以制定其酶制剂的机制，包括不同的方法（产物抑制剂或替代底物），不同的实验方法。方案（以不同方式监测酶活性）或不同的实验条件（温度，pH或离子强度）。这些实验者提出的不同的有序和快速平衡机制通常与其数据一致。在比较从几个实验数据集得出的约束条件时，发现它们与已发布的机理相比没有多少分歧，并且某些分歧可以归因于不同的实验条件（尤其是离子强度）。

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