至今，感染疾病仍然是健康的首要問題，通常在藥物治療上有很大的挑戰。隨著快速發展的高通量為陣列晶片(high-through microarray)以及蛋白質交互作用資料庫的興起對系統性的研究有很大的幫助。為了預測物種之間的蛋白質交互作用，我們使用直向同源物種當基底(ortholog-based)的方法來得到粗略的蛋白質交互作用候選人。根據實驗資料以及組織切片，我們同時使用宿主以及寄主的微陣列晶片資料、隨機的系統模型以及同源物種資訊來建構三個階段細胞內以及物種間蛋白質交互作用網路。透過GO這個資料庫以及整合蛋白質交互作用的網路資料庫和直系物種的相關性，我們也使用功能性集合的方法(functional clustering)來研究白色念珠菌細胞壁相關物種間蛋白質交互作用。透過不同階段的互動變化來建立宿主寄主的蛋白質動態網路之後，許多白色念珠菌黏附以及菌絲生長功能的中樞蛋白質在早期階段被發現。許多宿主免疫反應以及細胞凋零相關的蛋白質也用來研究宿主的防禦機制。利用動態系統生物學的觀點，不同階段，我們也預測了白色念珠菌感染過重中，與宿主相關的免疫反應，以及細胞凋亡的機制，以及寄主菌絲生長以及黏附的蛋白質調控網路和可能的蛋白質交互作用。透過感染過程中動態的宿主寄主蛋白質互動，將來可以設計根白色念珠菌相關的感染藥物，以及詳細的了解致病的機制，對未來宿主寄主之間的蛋白質互動有進一步貢獻。

So far, infectious diseases are still the top global healthcare problem, usually causing serious challenge in medical therapy. The rapid growth of high-throughput microarray and protein-protein interaction PPI data has led to emergence of system mechanism investigation. In order to predict the inter-species protein interactions, we used ortholog-based approach to obtain the rough protein-protein interaction candidates. Based on experimental histological section, simultaneous host and pathogen microarray data, orthologous information and stochastic system model, we have constructed the three stages inter-species and intra-cellular protein interaction network under the infection. Through GO database, we also focus on C. albicans cell-wall-related proteins to investigate the specific inter-species protein interactions by functional clustering method. After constructing the host and pathogen dynamic protein interaction network through protein interaction changes between different infection stages, several C. albicans adhesion hub proteins are found at early stage and hyphal growth-related hub proteins are also obtained for pathogenicity of morphology of pathogen at early and late stages. Several host immune response and several apoptosis-related proteins of infectious process are also investigated for host defense mechanisms. We also predicted some potential inter-species protein interactions in the infectious process. Through this integrated dynamic host-pathogen interaction network, the potential drug target and the C. albicans related pathogenesis could be understood in more detail.

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