在這篇論文中，我們提出布林延遲模型建立細胞內訊號傳遞網路動態模型並且利用基因演算法得到延遲參數。我們主要聚焦於TNF-α / TLR4 / IL-1 訊號傳遞路徑，這些路徑在發炎反應扮演很重要的角色。首先，我們將為大家介紹訊號傳遞的概念以及不同模型的探討。接著，這篇論文會詳細說明以基因演算法為基礎之布林延遲模型的方法以及建立流程。最後，我們可以透過模型去驗證網路中的關鍵要素並且自動化的產生模型中的參數。另外，透過不同的刺激以及凍結關鍵節點去預測整個網路的變化，我們預期可以提供對訊號傳遞網路更深入的了解。

In this study, we propose Boolean delay equation to construct dynamic networks of signaling pathways and employs genetic algorithm to determine the time delay of model. We focus the signal transduction in TNF-α / TLR4 / IL-1 pathway, which play important roles in inflammatory response. First, we introduce a concept of signal transduction and various modeling approach. Then, we illustrate a genetic algorithm-based Boolean delay model and the workflow of this approach. Finally, we are able to identify key network components that lead to these properties and generate the parameter of model automatically. Through the investigation of different stimuli and simulated knockout prediction, we expect to give the in-depth knowledge with the signal transduction pathway.

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