系統理論在生物資訊之應用

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：35

、訪客IP：3.141.31.240

姓名

鐘俊顏(Chun-yen Chung) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

系統理論在生物資訊之應用
(Application of Systems Theory in Bio-informatics)

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
★ 影像處理運用於家庭防盜保全之研究	★ 適用區域範圍之指紋辨識系統設計與實現
★ 頭部姿勢辨識應用於游標與機器人之控制	★ 應用快速擴展隨機樹和人工魚群演算法及危險度於路徑規劃
★ 智慧型機器人定位與控制之研究	★ 基於人工蜂群演算法之物件追蹤研究
★ 即時人臉偵測、姿態辨識與追蹤系統實現於複雜環境	★ 基於環型對稱賈柏濾波器及SVM之人臉識別系統
★ 改良凝聚式階層演算法及改良色彩空間影像技術於無線監控自走車之路徑追蹤	★ 模糊類神經網路於六足機器人沿牆控制與步態動作及姿態平衡之應用
★ 四軸飛行器之偵測應用及其無線充電系統之探討	★ 結合白區塊視網膜皮層理論與改良暗通道先驗之單張影像除霧
★ 基於深度神經網路的手勢辨識研究	★ 人體姿勢矯正項鍊配載影像辨識自動校準及手機接收警告系統

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]

本電子論文使用權限為同意立即開放。
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。
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)

本論文探討系統理論在生物資訊之應用，首先使用李亞普諾夫函數中的穩定理論來降低接合位置數以便進一步增進分子對接的效能，並且使用NURBS曲線中的插入頂點與權重調整來加速分子系統達到最小能量狀態。其次以各種不同的藥物受體模型來做電腦模擬計算，利用最小能量原理判斷出接近全域能量最小的區域之對接狀態的穩定度，並對其各種分子活性進行評估，研究各種分子對接中的各項活性，從中瞭解分子力場各元素的貢獻度，也成功地驗證出本論文所提出的方法。
再者提出以李雅普諾夫穩定性理論探討結核病流行現狀和動力學模型的問題，結合社會網絡與倉室模型等建模方法，發展一套適合用來模擬傳染疾病的傳播動態與探討相關的公共衛生政策的成效的流行病電腦模擬模型。利用MATLAB/Simulink數值分析模擬軟體其對結核病流行，建立各種反應結核病動力學特性的數學模型，尋找對其預防和控制的最優策略，為防治決策提供理論基礎和數量依據。面對結核病流行的現狀，我們將通過生物數學模型來探討結核病的發展動態趨勢。藉由SIMR的解來模擬結核病疫情的發展，再從中尋覓控制疫情的良策；經分析模型中各參數對疫情的演化影響，發現病患隔離參數在疫情控制上扮演著最重要的角色，提出SIMR數學模型與一些數值實驗結果並加以驗證，可提供一些建議，作為結核病疫情防治決策參考。

摘要(英)

This dissertation aims at exploring the application of system theory in in the bioinformatics, The first, Lyapunov’s stability theorem to accelerate the molecular docking system and aim at the short response route. Next, we used various drug-ligand interaction models to computed docking simulation and employed energy minimum theorem to judge the approach global energy minimum area and docking stability. We computed various molecular activities at each binding site, and observed every bond and non-bond’s contribution in force field.
Moreover, the study Lyapunov principle to deal with dynamic models for TB (Tuberculosis). Lyapunov principle is commonly used to examine and determine the stability of a dynamic system. In order to simulate the transmissions of vector-borne diseases and discuss the related health policies effects on vector-borne diseases, we combine the social network and compartmental model to develop an epidemic simulation model. The research will analyze the complex dynamic mathematic model of tuberculosis epidemic and determine its stability property by using the popular Matlab/Simulink software and relative software packages. Facing the current TB epidemic situation, the development of TB and its developing trend through constructing a dynamic bio-mathematic system model of TB is investigated. After simulating the development of epidemic situation with the solution of the SMIR epidemic model, we will come up with a good scheme to control epidemic situation to analyze the parameter values of model that influence epidemic situation evolved. We will try to find the quarantining parameters which are the most important factors to control epidemic situation. The SMIR epidemic model and the results via numerical analysis may give effective prevention with reference to control epidemic situation of TB.

關鍵字(中)

★ 系統理論
★ 生物資訊
★ 李亞普諾夫
★ 生物數學模型

關鍵字(英)

★ bio-mathematic model
★ Lyapunov
★ bioinformatics
★ system theory

論文目次

Chapter 1 INTRODUCTION
Chapter 2 BRIEF OF SYSTEMS THEORY
Chapter 3 ANALYSIS OF A BIO-MATHEMATIC MODEL VIA LYAPUNOV PRINCIPLE FOR TUBERCULOSIS
Chapter 4 COMPUTER SIMULATION AND CONSTRUCTING A TUBERCULOSIS DYNAMIC MODEL
Chapter 5 COMPUTER SIMULATION AND A NEW THEORETICAL MODEL
Chapter 6 CONCLUSIONS AND RECOMMENDATIONS

參考文獻

[1] http://www.ornl.gov/sci/techresources/Human_Genome/home.shtml.
[2] Emerging Infectious Diseases: Asian SARS Outbreak Challenged International and National Responses. GAO-04-564. Washington, D.C.: April 28, 2004.
[3] Public Health Preparedness: Response Capacity Improving, but Much Remains to Be Accomplished. GAO-04-458T. Washington, D.C.: February 12, 2004.
[4] S.C. Ou, W.T. Sung, C.Y. Chung, “Study on Molecular Docking for Computer-Aided Drug Design via Lyapunov Equation and Minimum Energy,” Information Visualization. Palgrave Macmillan Ltd, Vol 7, No 1, pp. 210-220, 2005.
[5] D.E.Walters, and T.D.Muhammad, “Genetically Evolved Receptor Models (GERM): A Procedure for Construction of Atomic-Level Receptor Site Models in the Absence of a Receptor Crystal Structure,” Devillers, J. (Ed.) Genetic Algorithms in Molecular Modelling, Academic Press, pp. 193-210, 1996.
[6] G. Jones, and P. Willett, GASP, “Genetic Algorithm Superimposition Program,” IUL Biotechnology Series 2 (Pharmacophore), pp. 85-106, 2000.
[7] Guanghong Ding, Chang Liu, Jianqiu Gong, Ling Wang, Ke Cheng and Di Zhang” SARS epidemical forecast research in mathematical model” Chinese Science Bulletin ,Vol 49, No 21, pp.2332-2338, 2004.
[8] Guang Zhao Zeng, Lan Sun Chen, Li Hua Sun, “Complexity of an SIR Epidemic Dynamics Model with Impulsive Vaccination Control”, Chaos, Solitons and Fractals , No 26, pp.495-505,2005.
[9] W. T. Sung, S. C. Ou, "Web-Based Learning in CAD Curriculum Sculpture Curves and Surface", International Journal of Computer Assisted Learning, Blackwell Science Publishers, Vol 18, No 1, pp.175-187, June, 2002.
[10] W. T. Sung, S. C. Ou, "Learning Computer Graphics using Virtual Reality Technologies Based on Constructivism" ,Interactive Learning Environments International Journal, Swets & Zeitlinger Publisher, Vol 10, No 3 , pp.177-197, 2000.
[11] W. T. Sung, S.C. Ou , S. J. Hsiao, "Interactive Web-based Training Tool for CAD in a Virtual Environment "Journal Of Computer Applications In Engineering Education, John Wiley & Sons, Inc, Vol 10, Issue 4, pp. 182-193. 2002.
[12] S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan. “ Linea r Matrix Inequalities in System and Control Theory.”SIAM, 1994.
[13] J. Hespanha, D. Liberzon, E. Sontag.Nonlinear observability and an invariance principle for switched systems, In Proc. 41th Conf. on Decision and Control, Dec, 2002.
[14] J. Hespanha, D. Liberzon, A. S. Morse. “Overcoming the limitations of adaptive control by means of logic-based switching”, Syst. & Contr. Lett, Vol 49, No 1,pp 49-65,2003.
[15] G.H. Meisters and C. Olech, “Solution of the Global Asymptotic Stability Jacobian Conjecture for the polynomial case”. Analyse Math´ematique et Applications, Gauthier-Villars, Paris, pp.373-381,1988.
[16] S.C. Ou, H.Y. Chung, W. T. Sung, C.Y. Chung, “Using Directivity Genetic Algorithms to Geometry Search and Conformational Stability for improving molecular simulation techniques,” WSEAS Transactions On Mathematics And Computers In Biology and Biomedicine, Issue 4, Vol3, pp.291-296, April ,2006
[17] S.C. Ou, C.Y. Chung, W. T. Sung ,C.C. Tsai, C. C. Chien, and D.Y. Su,” Virtual Screening and Computer-aided Drug Design in Molecular Docking via Lyapunov Function,” WSEAS Transactions On Biology and Biomedicine, Issue 4,Vol 1, pp.384-390, Oct. 2004.
[18] S.C. Ou, C.Y. Chung, H.Y. Chung, W.T. Sung ,C.C. Cheng, “Molecular Docking for Protein Folding Structure and Drug-likeness Prediction,” WSEAS International Journal on Biology and Biomedicine, Issue 1, Vol 2, pp.57-63 ,2005.
[19] C.C. Tsai ,C.Y. Chung, S. C. Ou, W.T. Sung “Predict protein structure and similar function via 3D Visualization tools- case study of bamboo shoot,” 2004 IEEE Fourth Symposium on Bioinformatics and Bioengineering , IEEE Computer Society Press , Taichung, Taiwan, ROC, May 19-21, 2004.
[20] S. Bohacek, J. Hespanha, J. Lee, K. Obraczka. “A Hybrid Systems Modeling Framework for Fast and Accurate Simulation of Data Communication Networks,” In Proc. of the ACM Int. Conf. on Measurements and Modeling of Computer Systems, June, 2003.
[21] A. Wolf and J. Swift, "Progress in Computing Lyapunov Exponents from Experimental Data," in: Statistical Physics and Chaos in Fusion Plasmas, C.W. Horton Jr. and L.E. Reichl, eds. Wiley, New York, 1984.
[22] J. Hespanha. “Root-Mean-Square Gains of Switched Linear Systems,” IEEE Trans. on Automat Control, No11,Vol 48, p.364-376, Nov, 2003.
[23] W.T. Sung, S.C.Ou. “Integrated Computer Graphics Training System in Virtual Environment-Case Study of Bézier, B-spline and NURBS Algorithms” Proceeding of IEEE Conference on International Conference on Visualization, IEEE Computer Society. London, England, July 19-21,pp. 33-38, 2000.
[24] World Health Organization. Tuberculosis, fact sheet no 104, March, 2007.
http://www.who.int/mediacentre/factsheets/fs104/en/ index.html
[25] World Health Orgnization. WHO report 2001: Global tuberculosis control Technical Report, world Health Organization ,2001.
[26] Castillo-Chavez C and B. Song” Dynamical Models of Tuberculosis and applications”, Journal of Mathematical Biosciences and Engineering, Vol 1, No 2, pp. 361-40,2004.
[27] H. W Hethcote, “The mathematics of infectious diseases”, SIAM Rev , pp. 599–653, 2000.
[28] O. Diekmann and J.A.P. Heesterbeek, ”Mathematical epidemiology of infections disease; Model building, analysis and interpretation”, Springer, Wiley, New York, 2000.
[29] Castillo-Chavez C and Z. Feng ,” To treat or not to treat: the case of tuberculosis", J. Math. Biol., Vol 35, pp.629-659,1997.
[30] Castillo-Chavez C and Z. Feng, “Mathematical Models for the Disease Dynamics of Tuberculosis, Advances In Mathematical Population Dynamics - Molecules, Cells, and Man (O. , D. Axelrod, M.Kimmel, (eds)”, World Scientific Press, pp. 629-656, 1998.
[31] C.Y. Huang, “A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations” , SIMULATION ,Vol 81,No10, pp.671-699,2005.
[32] P. van den Driessche and J. Watmough,” Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. “ Math.Biosci. No180, pp29-48, 2002 .
[33] LaSalle, J. P.,” The Stability of Dynamical System” SIAM, Philadelphia, 1976.
[34] Kermack, W.O. and M. Kendrick,” Contributions to the mathematical theory of epidemics”.Proceedings of the Royal Society of London. Series A, 115, pp.700–721,1927.
[35] C.Y. Chung , H.Y. Chung and S. C.Ou, “Applying Contact Network Technique and Bio mathmetics Model Studies for Novel Influenza”, Appl. Math. Inf. Sci, Vol 6, No 7S, 2012.
[36] Chowell G, Fenimore P W, Castillo-Garsow M A, et al. “SARS outbreak in Ontario, Hong Kong and Singapore: the role of diagnosis and isolation as a control mechanism”, Los Alamos Unclassified Report, LA-UR-03-2653, 2003.
[37] Shujing Gao, Zhidong Teng, Juan J. Nieto, and Angela Torres, “Analysis of an SIR Epidemic Model with Pulse Vaccination and Distributed Time Delay” Hindawi Publishing Corporation Journal of Biomedicine and Biotechnology, Volume, Article ID 64870, 2007.
[38] Helong Liu, HoubaoXu, Jingyuan Yu, and Guangtian Zhu, “Stability on Coupling SIR Epidemic Model with Vaccination”, Journal of Applied Mathematics ,Vol 4, pp.301–319 ,2005.

指導教授

歐石鏡、鍾鴻源
(Shih-ching Ou、Hung-yuan Chung)

審核日期

2012-8-2

推文