Dipartimento di Matematica, Universitá di Genova, Via Dodecaneso, 35 16146, Genoa, Italy.
CNR - SPIN GENOVA, Via Dodecaneso, 35 16146, Genoa, Italy.
J Math Biol. 2021 May 4;82(6):55. doi: 10.1007/s00285-021-01607-0.
This paper studies a system of Ordinary Differential Equations modeling a chemical reaction network and derives from it a simulation tool mimicking Loss of Function and Gain of Function mutations found in cancer cells. More specifically, from a theoretical perspective, our approach focuses on the determination of moiety conservation laws for the system and their relation with the corresponding stoichiometric surfaces. Then we show that Loss of Function mutations can be implemented in the model via modification of the initial conditions in the system, while Gain of Function mutations can be implemented by eliminating specific reactions. Finally, the model is utilized to examine in detail the G1-S phase of a colorectal cancer cell.
本文研究了一个微分方程组系统，该系统用于模拟化学反应网络，并从中推导出一个模拟工具，用于模拟癌细胞中发现的功能丧失和功能获得突变。更具体地说，从理论角度来看，我们的方法侧重于确定系统的部分守恒定律及其与相应的计量表面之间的关系。然后我们表明，可以通过修改系统中的初始条件来实现功能丧失突变，而功能获得突变可以通过消除特定的反应来实现。最后，利用该模型详细研究了结直肠癌细胞的 G1-S 期。
