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  • 學位論文

建構一個關聯蛋白質磷酸化與肝癌相關資訊的視覺化資料分析系統之研究

Study on Constructing a Visualization System for Integrating Data of Protein Phosphorylation and Hepatocellular Carcinoma

指導教授 : 洪振偉
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摘要


蛋白質磷酸化(Protein Phosphorylation)作用在蛋白質轉譯後修飾中會影響著生物體內的訊息傳導以及免疫系統等功能,因此磷酸化的研究逐漸出現於疾病、醫學、藥物研發以及生物科技等領域。而磷酸化作用主要發生在細胞訊息轉換過程中,將很可能為疾病治療之標靶點,依據行政院衛生署統計指出惡性腫瘤,俗稱癌症,為目前台灣十大死因排行之首,又以肝癌、肺癌為國人男、女性死亡排行之首,倘若我們可利用與磷酸化有關之Motif(Phosphorylation Motif)整合蛋白質磷酸化資料與肝癌(Hepatocellular Carcinoma,HCC)相關資料並加以分析,這將可提供相關領域研究者獲得更豐富且有價值性之資料。然而在現今眾多建置之預測網站僅止於提供蛋白質磷酸化的結果,未提供整合磷酸化與肝癌基因序列之相關資訊。為此,本研究將探討如何有效分析、整合大量生化實驗資料,並以資料視覺化(Data Visualization)方式呈現。最後,本研究將建置一個關聯蛋白質磷酸化與肝癌相關資訊的視覺化分析系統,使用者將可透過本系統提供之互動人機介面輸入蛋白質胺基酸序列後,即可獲取視覺化之蛋白質磷酸化與肝癌相關資料。

並列摘要


Protein Phosphorylation would affect the signal transduction in the organism and the immune system in the Post-translational modification. And it will be the standard target of the diseases in the cellular signaling translation process. Therefore, there have disease, complementary medicine, drug research and biotechnology in the Phosphorylation researches. According to the department of health indicate, the first cause of death is malignant tumors in Taiwan, also name cancer. Among them the most important cause of death are Hepatocellular Carcinoma and Lung Carcinoma. Hence, if we can integrate information and analysis of Phosphorylation and Hepatocellular Carcinoma (HCC) by Phosphorylation Motif (Motif), and that will provide the high value information for the same researchers. There are most forecast websites provide the information limited to Protein Phosphorylation, and that never provide the integrated information of Phosphorylation and Hepatocellular Carcinoma gene Sequence. For this purpose, this research will analysis and integrates the biochemical data, and the results will display through Data Visualization. Finally, all users can input the Protein Sequence, and then they get the Data Visualization of Protein Phosphorylation and Hepatocellular Carcinoma by Graphical User Interface (GUI) form this research built system.

參考文獻


[3] N. Blom, S. Gammeltoft, S. Brunak, "Sequence- and structure-based prediction of eucaryotic protein phosphorylation sites," Journal of Molecular Biology, vol. 294, pp. 1351-1362, Dec. 17, 1999.
[4] LM. Iakoucheva, P. Radivojac, CJ. Brown, TR. O'Connor, JG. Sikes, Z. Obradovic, AK. Dunker, “The importance of intrinsic disorder for protein phosphorylation," Nucleic Acids Research, vol. 32, no. 3, pp. 1037-1049, 2004.
[5] H.D. Huang, T.Y. Lee, S.W. Tseng, J.T. Horng, "KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites," Nucleic Acids Research, vol. 33, pp. 226-229, 2005.
[6] Y. Xue, F. Zhou, M. Zhu, K. Ahmed, G. Chen, X. Yao, "GPS: a comprehensive www server for phosphorylation sites prediction," Nucleic Acids Research, vol. 33, pp. 184–187, 2005.
[10] G.. M. Ryu, P. Song, K. W. Kim, K. S. Oh, K. J. Park, J. H. Kim, "Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases," Nucleic Acids Research, Vol. 37, No. 4, pp. 1297-1307, 2009.

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