Lavrova Anastasia I, Postnikov Eugene B, Zyubin Andrey Yu, Babak Svetlana V
Immanuel Kant Baltic Federal University, A. Nevskogo st. 14A, Kaliningrad, Russia.
St Petersburg Research Institute of Phthisiopulmonology, Polytechnicheskaya st. 32, Saint-Petersburg, Russia.
R Soc Open Sci. 2017 Apr 12;4(4):160872. doi: 10.1098/rsos.160872. eCollection 2017 Apr.
We consider two approaches to modelling the cell metabolism of 6-mercaptopurine, one of the important chemotherapy drugs used for treating acute lymphocytic leukaemia: kinetic ordinary differential equations, and Boolean networks supplied with one controlling node, which takes continual values. We analyse their interplay with respect to taking into account ATP concentration as a key parameter of switching between different pathways. It is shown that the Boolean networks, which allow avoiding the complexity of general kinetic modelling, preserve the possibility of reproducing the principal switching mechanism.
我们考虑两种对6-巯基嘌呤（一种用于治疗急性淋巴细胞白血病的重要化疗药物）细胞代谢进行建模的方法：动力学常微分方程，以及配备一个取连续值的控制节点的布尔网络。我们分析了它们在将ATP浓度作为不同途径间切换的关键参数时的相互作用。结果表明，布尔网络虽然避免了一般动力学建模的复杂性，但仍保留了再现主要切换机制的可能性。
