博碩士論文 91521074 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:114 、訪客IP:18.222.125.171
姓名 蔡嘉志(CHIA-CHIH TSAI)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 利用3D分子模擬軟體預測竹筍蛋白質相似結構及功能
(Predict protein structure and similar function via 3D Visualization tools-case study of bamboo shoot)
相關論文
★ 二維電場微風計之設計與實作★ FPGA之電磁波量測儀的設計與實作
★ 在虛擬環境中發展一整合式電腦繪圖系統- Case Study of Bezier, B-Spline and NURBS Algorithms★ α-spline與NURBS雕塑曲面設計之研究
★ 利用Blowfish演算法於加密晶片之設計★ 先進加密標準演算法之IP模組元件設計與驗證
★ 使用FPGA晶片發展一個雕塑曲面設計★ 應用Java技術結合無線網路之設計與實作
★ 使用FPGA 實現一串流加密模組之 設計與驗證★ e-Learning 多媒體教材之實作研究
★ 使用最小能量原理來改進電腦輔助藥物設計中的分子對接技術之研究★ 系統理論在生物資訊之應用
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 虛擬預測結構的電腦繪圖軟體對這個研究是不可欠缺的工具,在分子生物學中,單單從一級結構(也就是胺基酸序列)而可以預測其三維的結構是一個尚未克服及非常重要的問題。
預測蛋白質的結構問題在分子生物學上扮演一個非常重要的角色,本論文研究目的在利用電腦的3D軟體預測竹筍蛋白質相似結構及功能。作者是用同源模擬法的原理來預測竹筍蛋白質的相似結構和討論其功能,並比較其差異性,這種模擬法讓我們更加瞭解竹筍蛋白質結構的特性並在預測蛋白質三級結構方面能有所突破。
本研究利用暑假台大生計中心提供之竹筍二維蛋白質電泳實驗,得到不同階段竹筍蛋白質序列,並且用BLAST和SAS去分析竹筍在出土前、出土後10cm、出土後30cm不同階段的相似序列及探討蛋白質其差異性。
最後,作者使用方式是和現今存在PDB資料庫中的結構作比較並利用相關分子模擬軟體(RasMol,Chime…等)來預測竹筍蛋白質的相似結構和討論其功能的差異性,而以即時三維虛擬分子模型視窗的網頁方式呈現出來。
摘要(英) Computer graphical methods of visualizing structures are important tools in this research. This prediction of protein three dimensional conformations from the primary structure (i.e. amino-acid sequence) is one of the important unsolved problems in molecular biology.
The purpose of this research is to predict the similar protein structure and its function for bamboo shoot by computational technology with 3D computer software. The reason for predict a protein structure that it plays an important role in molecular biology. In this paper, the author attempted to predict a protein structure of bamboo shoot that discusses similar function and can be used in homology modeling. This method provides a substantial increase in understanding of protein structural features, knowledge about which will assist in prediction work.
The research uses three sequence samples of bamboo shoot from the department of Biotechnology, National Taiwan University at summer biotechnology at experimental courses in 2003 year. The author analyze the three types (there are Native, have come out of Ground at 10cm and 30cm) via BLAST and SAS bioinformatics websites.
Finally, the author can use tools (RasMol, Chime…) to predict bamboo shoot similar protein structure and discuss its function comparing with current PDB database structures that it can show web-base by Internet + 3D Visualization Real-time Molecular viewer.
關鍵字(中) ★ 蛋白質結構
★ 蛋白質折疊
關鍵字(英) ★ protein folding
★ protein structure
★ 3D computer software
論文目次 Chapter 1 Introduction ………………………………………………1
1.1 Motivation.…….…………………………………………………………1
1.2 Literature survey and Related work……………………………………2
1.3 Merits and Contribution…………………………………………………4
1.4 Organization of the Thesis ………………………………………………4
Chapter 2 Protein Database and Visualization Structure………….5
2.1 Amino Acids and Peptide……………..…………………………………..5
2.2 Protein and Experiment of Protein Series………………………………8
2.3 Protein Database (PDB) and PDBsum…………………………………11
2.4 Pairwise Alignment Technique (BLAST and FASTA)………………15
2.5 SCOP and CATH Tools………………………………………………….19
2.6 RasMol and RasMol Based Viewers…………………………………….21
2.7 The Folding Problem of Structure………………………………………..24
Chapter 3 Similar Protein Structure Survey………………………26
3.1 System Architecture…….………………………………………………..26
3.2 Characteristic of Bamboo Shoot’s Protein series……………………30
3.3 Comparison of Different Methods……………………………………….31
3.4 Results of Related PDB and Ramachandram Plot………………………35
3.5 Results of SCOP and CATH…………………………………………..37
Chapter 4 Similar Protein Structure Analysis…………………….44
4.1 Secondary Structure of Similar Protein………………………………….44
4.2 The Hydrophobic Effect of Similar Protein……………………………..52
4.3 Results of Protein Structures by RasMol………………………………64
4.4 Predict Similar Structure andFunction…………………………………..67
Chapter 5: Conclusion and Future Work ………………………….73
Reference ………...…………………………………………………74
參考文獻 [1] http://www.rcsb.org/pdb
[2] Christian B. Anfinsen. Principles that govern the folding of protein chains. Science, 181:223-230, 1973.
[3] G. D. Hasman. Prediction of protein structure and principles of potein cnformation. Plenum Publishing New York, 1989
[4] B. Rost, C.Sander. Prediction of protein secondary structure at better than 70% accuracy. J. Molecular Biology, vol232, no.2, 20 July 1993, pp. 584-599.
[5] K. Yue, K. Dill. Inverse protein folding problem: Designing polymer sequence. Proc. Nat’l Academy of Science. National Academy Press, Washington. D. C. 1991, pp. 4163-4167.
[6] J. U. Bowie. R. L. Luthy, D. Eisenberg. a method to identify protein sequences that fold into a known three dimensional structure. Science, vol 253. 1991, pp 164-179.
[7] M. J. Sippl. Calculation of conformational ensembles from potentials of mean force: An approach to proteins. J. Molecular Biology, vol 213. no.4, 20 June 1990. pp 859-883.
[8] C. Chothia, A. M. Lesk. The relation between the divergence of sequence and structure in proteins. EMBO. J. vol.5, pp 823-826, 1986.
[9] G. Dodson, A. Wlodawer. Catalytic triads and their relatives. Trends Biochem. Science, vol. 23 pp. 347-352, 1998.
[10] Andreas D, Bacevanis, B. F. Francis Ouellette. Bioinformatics-a practical guide to the analysis of genes and proteins. John Wiley& Sons.2001
[11] Philip E, Bourne Helge Weissig. Structural bioinformatics. John Wiley& Sons.2003
[12] Teresa K. Attwood, David J. Parry-Smith. Introduction to Bioinformatics.
[13] Bryan Bergern .Bioinformatics Computing. Prentice Hall, 2003
[14] Daniel I. Chasman Variagenics, Inc. Cambridge, Massachusetts, U.S.A Protein structure determination, analysis, and applications for drug discovery.
[15] Dietrich Stauffer. Protein folding in Silico: An overview by Ulrich H.E.Hansmann, Computing in Science& Engineering 2003 IEEE
[16] Shann-Ching Chen, Tsuhan Chen. Retrieval of 3D protein structures. Dept. of Electrical and Computer Engineering, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213 USA ,IEEE ICIP 2002.
[17] Marc Hansen, Doanna Meads, Alex Pang , Comparative visualization of protein structure- sequence alignments. Computer Science Department, UCSC
[18] Mary K. Campbell, Shawn O.Farrell. Biochemistry. four edition.
[19] Shindialov, I.N., P.E. Bourne. Protein structure alignment by incremental combinatorial extension (CE) of the optimal path. Protein Engineering 11(9): 739-747, 1998.
[20] Ingvar Eidhammer, Inge Jonassen, William R. Taylor. Structure comparison and structure patterns. Reports in Informatics No. 174, Department of Informatics, University of Bergen, Norway, July 1999.
[21] C. Zhang, T. Chen. Efficient feature extraction for 2D/3D object in Mesh representation. ICIP 2001, Thessaloniki, Greece.
[22] F.C Bernstein, T.F. Koetzle, Jr.G.J.B Williams, et al. The protein data bank. A computer based archival file for macro-molecular structures. Journal of Molecular Biology, 112:535-542, 1977.
[23] Marc Hansen, Jesse Bentz, Albion Baucom, Lydia Gregoret. Dinamo. A coupled sequence alignment editor/molecular graphics tool for interactive homology modeling of proteins. In Pacific Symposium on Biocomputing, volume 3, page 106-117, 1998.
[24] N.A. Alves, U.H.E. Hansmann. Helix For-mation and folding in an artificial peptide. J. Chemical Physics, vol.117, no. 5, 2002, pp.2337-2343.
[25] U. H. E. Hansmann, L.Wille. Global optimization by energy landscape paving. Physical Rev.Letters, vol.88, no.6, 2002, p.068105.
[26] D. Baker, A. Sali. Protein structure prediction and structural genomics. Science, vol.294, no. 5540, 2001, pp.93-96.
[27] R. Sanchez, A. Sali. Large-scale protein structure modeling of the saccharomyces cerevisiae genome. Proc.Nat’l Academy of Science, vol. 954, no.23, 10 Nov. 1998, pp. 13597-13602.
[28] D. T. Jones. Protein structure prediction in the post genomic Era.Current Opinion in Structural Biology, vol.10, no.3, June 2000, pp. 371-379.
[29] K. T. Simons, C. Strauss, D. Baker. Prospects for ab initio protein structural genomics. J. Molecular Biology, vol. 306, no. 5, 2001, pp. 1191-1199.
[30] A. M. Lesk, L. L. Conte, T.J.P Hubbard. Assessment of novel fold targets in CASP4 : Predictions of three-dimensional structures, secondary structures, and inter-residue contacts. Proteins, vol.45, no.5, 2001, pp. 98-118.
[31] P. Baldi, S. Brunak, Bioinformatics: The machine learning approach, 2nd ed. MIT press, Cambridge, Mass., 2001.
[32] D. T. Jones. Protein secondary structure prediction based on position-specific scoring machines. J. Molecular Biology, vol. 292, no.2, 1999, pp. 195-202.
[33] P. Baldi et al.. Exploiting the past and the future in protein secondary structure prediction, ” Bioinformatics, vol. 15, no.11, 1999. pp.937-946.
[34] G. Prollastri et al.. Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles. Proteins, vol. 47, 2002,pp. 228-235.
[35] G. Pollastri et al..Prediction of coordination number and relative solvent accessibility in proteins. Proteins, vol.47, 2002, pp. 142-153.
[36] J. Richardson, D. J. Barlow. The bottom line for prediction of residue solvent accessibility.Protein Engineering, vol. 12, no,12, 1999, pp. 1051-1054.
[37] http://webhost.bridgew.edu/fgorga/proteins/default.htm
[38] http://juang.bst.ntu.edu.tw/BCbasics/Protein1.htm
[39] http://www.bio.cmu.edu/Courses/BiochemMols/BuildBlocks/ProtG.html
[40] http://www.bio.cmu.edu/Courses/BiochemMols/BuildBlocks/CAP.html
[41] http://www.bio.cmu.edu/Courses/BiochemMols/BuildBlocks/Hb.html
[42] http://www.bio.cmu.edu/Courses/BiochemMols/BuildBlocks/lysozyme.html
[43] http://cti.itc.virginia.edu/~cmg/Demo/pdb/ap/ap.htm
[44] http://www.bmm.icnet.uk/people/rob/CCP11BBS/flowchart2.html
[45] http://www.ks.uiuc.edu/Research/vmd/
[46] http://www.cmpharm.ucsf.edu/~walther/webmol.html
[47] http://www.biochem.ucl.ac.uk/bsm/pdbsum/
[48] http://www.biochem.ucl.ac.uk/bsm/sas/sasquery.html
[49] http://www.ncbi.nlm.nih.gov/
[50] http://www2d.biglobe.ne.jp/~chem_env/s/
[51] http://www.sinica.edu.tw/lib/lsl/bioinformation/BioWeb_fc.htm
[52] http://cad.ee.ncu.edu.tw/Bioinformatics/index.htm
[53] http://www.bioinf.man.ac.uk/dbbrowser/bioactivity/
[54] http://juang.bst.ntu.edu.tw/
[55] 基礎生物資訊實務 李炎編著
指導教授 歐石鏡(Shin-Ching Ou) 審核日期 2004-7-2
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明