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研究生:Jangam Vikram Kumar
研究生(外文):Jangam Vikram Kumar
論文名稱:透過計算設備篩選蛋白質結合的核酸適體
論文名稱(外文):The selection of protein-binding aptamers through computational appliances
指導教授:胡文品
指導教授(外文):Wen-Pin Hu
口試委員:吳家樂陳玉菁朱彥煒黃俊仁胡文品
口試委員(外文):Ka-Lok NgYu-Ching ChenYen-Wei ChuChun-Jen HuangWen-Pin Hu
口試日期:2015-07-17
學位類別:博士
校院名稱:亞洲大學
系所名稱:生物與醫學資訊學系
學門:工程學門
學類:生醫工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:64
中文關鍵詞:AptamersZRANKAngiopoietin-2Surface Resonance Plasmon
外文關鍵詞:AptamersZRANKAngiopoietin-2Surface Resonance Plasmon
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Single-stranded DNA or RNA molecules (Aptamers) which bind to selected target proteins are in the attention for computational docking studies. With advent of different simulation procedures, the selection of nucleic acid aptamers that binds to proteins tightly and specifically has become efficient. Discovery Studio 3.5 is a modeling and simulation software package for both small and macromolecule study. Firstly a comparative study was carried out to analyze the consistency of the docking score between thrombin and its aptamers from literature studies. A rigid-body docking procedure, ZDOCK which uses Pairwise Shape Complementarity (PSC) function has provided reliable results for thrombin and its aptamers and was consistent with previous study.
Angiopoietin-2 (Ang2) displays its appearance in the change vasculature of human tumors. With aim to introduce computational simulation approach to screen high binding aptamers for angiopoietin-2 (Ang2), we used ZRANK from Discovery studio 3.5 and studied the interactions between Ang2 and its aptamers from literature. Based on ZRANK scores obtained, three high binding affinity aptamers were selected. 189 sequences with two-point mutations were produced from three scrutinized high binding aptamers and simulated with Ang2.
Although ZDOCK and ZRANK set as alternative method to in silico selection of aptamers, the resulted simulation aptamers may prove difficult to adapt for biosensor applications. We therefore attempted to develop selection method for aptamers. Surface plasmon resonance (SPR) biosensor was used to test the binding affinity of high and low ZRANK score Ang2/aptamers. A particular RNA aptamer showed higher binding affinity and SPR response to Ang2 than reported in literature. Using ZRANK scoring function, this is the first study of the in silico selection of aptamers against Ang2.

Single-stranded DNA or RNA molecules (Aptamers) which bind to selected target proteins are in the attention for computational docking studies. With advent of different simulation procedures, the selection of nucleic acid aptamers that binds to proteins tightly and specifically has become efficient. Discovery Studio 3.5 is a modeling and simulation software package for both small and macromolecule study. Firstly a comparative study was carried out to analyze the consistency of the docking score between thrombin and its aptamers from literature studies. A rigid-body docking procedure, ZDOCK which uses Pairwise Shape Complementarity (PSC) function has provided reliable results for thrombin and its aptamers and was consistent with previous study.
Angiopoietin-2 (Ang2) displays its appearance in the change vasculature of human tumors. With aim to introduce computational simulation approach to screen high binding aptamers for angiopoietin-2 (Ang2), we used ZRANK from Discovery studio 3.5 and studied the interactions between Ang2 and its aptamers from literature. Based on ZRANK scores obtained, three high binding affinity aptamers were selected. 189 sequences with two-point mutations were produced from three scrutinized high binding aptamers and simulated with Ang2.
Although ZDOCK and ZRANK set as alternative method to in silico selection of aptamers, the resulted simulation aptamers may prove difficult to adapt for biosensor applications. We therefore attempted to develop selection method for aptamers. Surface plasmon resonance (SPR) biosensor was used to test the binding affinity of high and low ZRANK score Ang2/aptamers. A particular RNA aptamer showed higher binding affinity and SPR response to Ang2 than reported in literature. Using ZRANK scoring function, this is the first study of the in silico selection of aptamers against Ang2.

Contents
Abstract 3
Acknowledgements 4

Chapter 1 Introduction 9
1.1 Background 10
1.2 Topics of Study 11
1.2.1 The interaction of Thrombin and Aptamer 11
1.2.2 The interaction of Aptamers and Angiopoietin-2 12
1.3 Motivations and objectives 13
1.4 Research Framework of the dissertation 14

Chapter 2 Literature Review
2.1 Molecular simulations on interactions between protein and nucleic acids 16
2.2 DNA/Protein and RNA/Protein interactions 16
2.3 Basic theory of SPR Biosensors 17

Chapter 3 Materials and Methods
3.1 Collecting Protein Structures 20
3.2 Construction of DNA aptamers for Thrombin 22
3.3 Construction of RNA aptamers for Angiopoietin-2 23
3.4 Simulation methods: ZDOCK and ZRANK 27
3.4.1 ZDOCK Simulation between Thrombin/Aptamers 28
3.4.2 ZRANK Simulation between Ang2/Aptamers 28
3.4.3 Generation of Mutant Aptamers to Ang2 29
3.5 SPRi Experimental Procedure 31
3.5.1 Experimental reagents and SPRi Technique 31

Chapter 4 Results and discussion
4.1 Simulations of thrombin/aptamer interactions by using ZDOCK 34
4.2 Selecting Ang2-specific aptamers by using ZRANK method 36
4.3 Experimental evaluations for the selected Ang2 aptamers 46

Chapter 5 Conclusion
5.1 Summary 49
5.2 Recommendations and Perspectives 50
Appendix A 51
Appendix B 52
References 53

List of Tables
Table 1 Thrombin binding aptamer sequences 22
Table 2 Ang2-specific aptamers collected from literature 23
Table 3 Dot-bracket notation information of Ang2 aptamer sequences 24
Table 4 Nucleotides involved in binding interaction to Ang2 30
Table 5 Selected RNA aptamers used for SPR experiment 32
Table 6 Comparing ZDOCK results of thrombin/aptamer to literature 35
Table 7 ZRANK scores of each Ang2/aptamers complex 37
Table 8 189 mutated RNA aptamer sequences generated from three
high binding aptamers (Seq1, Seq2, Seq15) 38
Table 9 Experimental data and the computationally obtained scores 47


List of Figures
Figure 1 Research framework chart for aptamer selection process 15
Figure 2 Principle of Surface plasmon resonance in Biacore system 18
Figure 3 Isolated structure of Thrombin from 1HAO complex 20
Figure 4 Structure of Ang2 from 2GY7 complex 21
Figure 5 3D structures of Thrombin binding aptamers 22
Figure 6 3D structures of Ang2-specific aptamers 25
Figure 7 A schematic representations of the mixed BAT/PEG
thiol layer, streptavidin, and biotinylated RNA aptamers on the SPR sensor surface 32
Figure 8 Top binding pose of Thrombin/aptamers ZDOCK results 34
Figure 9 ZRANK results of Ang2/aptamer complexes 36
Figure 10 ZRANK results Ang2/mutated-aptamer complexes 44
Figure 11 SPR sensorgrams for interactions between immobilized
Ang2 and different aptamers. 46
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