博碩士論文 955202018 詳細資訊




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姓名 吳忠義(Chung-yi Wu)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 禽流感病毒在血球凝集素上有鑑別力特徵之探勘
(Identifying discriminative features of the Hemagglutinin from H5N1 influenza A virus)
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摘要(中) 全球傳染性的高致病性禽流感已變成全球關注的議題。近日,傳向亞洲、非洲及歐洲的病毒對家禽及人類健康都造成了巨大的影響。越來越多的人類感染到病毒並且死亡。倘若 H5N1 流感病毒持續的突變或是與其他亞種病毒混合突變,以改變牠與受體結合的能力,使得病毒演變成具有人類傳染人類的能力,那將會是場大災難。 血球凝集素 (Hemagglutinin) 是流感病毒中負責將病毒和細胞結合的表面醣蛋白。血球凝集素上發生突變,可能改變病毒與受體結合的能力,轉變成容易和人類受體結合。本文中,我們找出了在血球凝集素上有鑑別力的特徵,並且顯示這些特徵在人類宿主及鳥類宿主上的差異。
摘要(英) The global spread of highly pathogenic H5N1 avian influenza has become a worldwide concerned issue. Recently, the spread of virus into Asia, Africa, Europe has resulted in immense effects not only on the poultry industry but human health problem. More and more people get infected and died. If the H5N1 virus continually mutate itself or recombine with other types of influenza viruses to adapt its receptor binding properties and acquire ability to transmit from human to human, it will be a serious disaster. Hemagglutinin (HA) is the surface glycoprotein, and it is responsible for binding the virus to cell. Mutations on HA protein sequences may change the receptor binding preference from avian to human. In this study, we identify some discriminative features of HA protein sequence for each clade and demonstrate difference of amino acid composition on these features.
關鍵字(中) ★ 禽流感
★ 血球凝集素
關鍵字(英) ★ H5N1
★ Hemagglutinin
★ influenza
論文目次 Chapter 1 Introduction....................................1
1.1 Background............................................1
1.2 Motivation............................................4
1.3 Goal..................................................5
Chapter 2 Related works...................................6
2.1 Influenza Virus Resource database.....................6
2.2 ClustalW of EMBL-EBI..................................6
2.3 Protein post translational modification (PTM) site prediction server.........................................7
2.3.1 Protein glycosylation site prediction server : GSI..7
2.3.2 Protein methylation site prediction server : MASA...8
2.3.3 Protein methylation site prediction server : MeMo...9
2.3.4 Protein phosphorylation site prediction server : KinasePhos...............................................10
2.3.4 Protein phosphorylation site prediction server : NetPhos..................................................11
2.4 Weka.................................................11
2.5 The key amino acid identified by previous studies....12
Chapter 3 Materials and Methods..........................13
3.1 The data source......................................13
3.2 Separate data into 4 clades..........................13
3.3 Feature selection....................................14
3.4 Add posttranslational modification (PTM) features....15
3.5 Select key feature and analysis system flow..........16
Chapter 4 Results........................................18
4.1 Analyze the amino acid composition of RBD............18
4.2 Analyze the amino acid composition of key features identified by previous studies...........................20
4.3 Identify discriminative features of each clade.......24
4.4 Analyze the amino acid composition of discriminative features for each clade..................................25
4.5 Information gain of each position in each clade......30
4.6 Building decision tree for each clade................30
Chapter 5 Discussion.....................................33
Reference ................................................34
APPENDIX A...............................................36
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指導教授 洪炯宗(Jorng-Tzong Horng) 審核日期 2008-7-23
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