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Simulation and Analysis of the Network Model of the Quorum Sensing Process during Biofilm Creation

机译:生物膜创建过程中群体感应过程网络模型的仿真与分析

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System biology is one of the leading edge cross-subjects which requires the cooperation between computer science and biological science. Abstracting complex life phenomenon, like metabolic or transcription regulation pathway, into networks to simulate these processes is one of the hotspots in System biological research. In this paper, we construct a network to simulate one of the most concerned areas in micro-biological research, the formation of the biofilm structure. The research concerning the biofilm is critical as most pathogen micro-organism form this structure to resist most antibiotics. Specifically, we focused on the Quorum sensing pathway which is a microbial cell-cell communication process influencing the biofilm formation to a large extent. By deleting some of the components locating at different topological position within the network and analyzing the variation of topological parameters of the resulting networks, we discovered that the deletion of lasR or AHL1 can undermine the whole network to a great extent. Therefore, it can be predicted that the most crucial elements who may control the whole process is the lasR and AHL1. These predictions may provide valuable information for the drug-target design project and contribute to the control of the diseases brought by pathological micro-organism.
机译:系统生物学是前沿交叉学科之一,需要计算机科学和生物学之间的合作。将复杂的生命现象(例如代谢或转录调控途径)抽象到网络中以模拟这些过程是系统生物学研究的热点之一。在本文中,我们构建了一个网络来模拟微生物研究中最关注的领域之一,即生物膜结构的形成。有关生物膜的研究至关重要,因为大多数病原体微生物会形成这种结构以抵抗大多数抗生素。具体来说,我们专注于Quorum感应途径,这是一种在很大程度上影响生物膜形成的微生物细胞之间的通信过程。通过删除位于网络内不同拓扑位置的某些组件并分析所得网络的拓扑参数的变化,我们发现lasR或AHL1的删除会在很大程度上破坏整个网络。因此,可以预见,可能控制整个过程的最关键因素是lasR和AHL1。这些预测可为药物靶向设计项目提供有价值的信息,并有助于控制由病理微生物带来的疾病。

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