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Structural Modeling and Characterization of Protein Interaction Network

Abstract第4-5页
摘要第6-11页
Contents第11-14页
Chapter 1 Introduction第14-42页
    1.1 Computational Biology Data Source第16-22页
        1.1.1 Nucleotide Sequence Databases第18页
        1.1.2 Protein Sequence Databases第18-20页
        1.1.3 Protein Domain & Family Databases第20页
        1.1.4 Structure- Based Databases第20-22页
    1.2 Protein Sequence Clustering第22-29页
        1.2.1 The Problems of Protein Sequence Clustering第23-26页
        1.2.2 Existing Methods of Protein Sequence Clustering第26-29页
    1.3 Comparative Modeling第29-37页
        1.3.1 Protein Structure Prediction第29-32页
        1.3.2 Stages in Comparative Modeling Process第32-37页
    1.4 Prediction of Protein-Protein Interaction第37-42页
        1.4.1 Evolutionary Traces in Protein-Protein Interaction第38-39页
        1.4.2 Prediction of Interacting Regions第39-40页
        1.4.3 Prediction of Interacting Proteins第40-42页
Chapter 2 Clustering Orthologs Based on Sequence and Domain Similarities第42-64页
    2.1 Introduction第43-47页
    2.2 Previous Works第47-51页
        2.2.1 The Database of Orthologous Clusters第47-49页
        2.2.2 Related Methods for Clustering of Orthologous Groups第49-51页
    2.3 Materials and Methods第51-57页
        2.3.1 Sequence Data and Alignment Score Refinements第52-54页
        2.3.2 Clustering第54-56页
        2.3.3 Validation of Clusters第56-57页
    2.4 Results第57-61页
    2.5 Conclusion第61-64页
Chapter 3 The Integration of Protein Interaction Information第64-77页
    3.1 Background第64-66页
    3.2 Materials and Methods第66-69页
        3.2.1 Datasets第66-67页
        3.2.2 Interaction Confidence Score第67-68页
        3.2.3 Optimization by Evolutionary Strategy第68-69页
    3.3 Results and Discussions第69-75页
        3.3.1 Validation of Confidence Scores第69-73页
        3.3.2 Yeast Gene-Gene Interaction Network Is Scale-Free第73-75页
        3.3.3 Assessment of the Reliability of Method第75页
    3.4 Conclusion第75-77页
Chapte14 Comparative Modeling Based on Sequence-Conserved Domains第77-100页
    4.1 Introduction第77-81页
    4.2 Progresses and Remaining Problems in Comparative Modeling第81-86页
        4.2.1 Sequence Similarity第81页
        4.2.2 Template Recognition第81-83页
        4.2.3 The alignment in Comparative Modeling第83-85页
        4.2.4 The Modeling第85-86页
    4.3 Experimental Design第86-91页
        4.3.1 Template Library of Structural Clusters for Sequence-Conserved Domains第87-88页
        4.3.2 Structure-Anchored Alignment第88-90页
        4.3.3 Benchmark Selection and Validation第90-91页
    4.4 Results and Discussions第91-98页
        4.4.1 Structure Information of the Templates Library第91-95页
        4.4.2 Comparison of Results Predicted Using Different Alignment Protocols第95-98页
    4.5 Conclusion第98-100页
Chapter 5 Structure-Based Assembly of Protein Interaction Network第100-112页
    5.1 Background第101-102页
    5.2 Methods and Materials第102-106页
        5.2.1 Overview of the Methodology第102-103页
        5.2.2 Datasets of Protein Interactions and Predicted Domain Structures第103-104页
        5.2.3 Building a Domain-Domain Interaction Map第104-106页
        5.2.4 Inferring Biological Consistence of the Homologous Complexes第106页
    5.3 Results and Discussion第106-112页
        5.3.1 the Characterized Domain-Domain Interaction第106-108页
        5.3.2 Validation the Method Using a Structure-Known Complex as Benchmark第108-109页
        5.3.3 Demonstration the Consistencies of Domain-Domain Docking第109-112页
Chapter 6 Conclusion第112-115页
    6.1 the Significance of This Study第112页
    6.2 Overall Goal and Results第112-113页
    6.3 Future Works第113-115页
Appendix A Parallel Bio-Sequence Comparison based on Smith-Waterman Algorithm第115-127页
    A1 Introduction第115-117页
    A2 The Smith-Waterman Algorithm第117-120页
        A2.1 Pair-Wise sequence Alignment第117-118页
        A2.2 Smith-Waterman Algorithm第118-120页
    A3 Parallel Pair-Wire Alignment Algorithm Based on Smith-Waterman Algorithm第120-124页
        A3.1 The PSW-DC Algorithm第120-121页
        A3.2 The C&E Method第121-124页
    A4. Experimental Results第124-125页
    A5. Conclusion and Further Work第125-127页
Reference第127-138页
Resume第138-140页
Acknowledgements第140页

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