A Petri Net model to simulate and analyse cerebral folate deficiency and hyperhomocysteinemia effects in Autism Spectrum Disorder

Safae Cherdal, S. Mouline
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Abstract

Autism spectrum disorder (ASD) is one of the most popular disorders. Many researches and experiments in the world have been conducted to study causes of ASD. It has been proved that ASD is associated with elevated concentrations of homocysteine and low concentrations of cerebral folic acid. Being part of a complex biological system, we can model it to study its behaviour relatively to metabolic causes of ASD and predict the deregulations earlier. We use, in this work, a Petri net extension, called HFPN, in order to model a complex system related to metabolic biological causes of ASD and to analyse effects of some enzymes and metabolites in ASD.
一个Petri网模型模拟和分析脑叶酸缺乏和高同型半胱氨酸血症对自闭症谱系障碍的影响
自闭症谱系障碍(ASD)是最常见的疾病之一。世界上已经进行了许多研究和实验来研究ASD的病因。已证实ASD与高同型半胱氨酸浓度和低脑叶酸浓度有关。作为复杂生物系统的一部分,我们可以对其进行建模,研究其相对于ASD代谢原因的行为,并更早地预测调节的解除。在这项工作中,我们使用了一种称为HFPN的Petri网扩展,以模拟与ASD代谢生物学原因相关的复杂系统,并分析一些酶和代谢物在ASD中的作用。
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