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天然产物的系统性药物筛选和药物靶点相互作用预测

ABSTRACT第6-7页
摘要第8-12页
Chapter 1: Introduction第12-20页
    1.1 Natural products in drug discovery第12页
    1.2 Systematic methods in drug discovery第12-14页
    1.3 The advances of identifying drug target interactions第14-15页
    1.4 Ki: a description of ligand-protein binding affinity第15-16页
    1.5 Protein-Ligand Interactions in Drug Discovery第16-17页
    1.6 Drug target associations-based drug design第17-18页
    1.7 Biological and structural activities-based drug design第18-20页
Chapter 2: Systems-based drug screening from natural products第20-37页
    2.1 The Challenges in drug discovery from natural products第20-23页
        2.1.1 The complexity of natural products第20-21页
        2.1.2 The lack of an integrated system for drug discovery第21-22页
        2.1.3 The tendency of individualization第22-23页
    2.2 The integrated methods for discovery of individual medicine第23-24页
    2.3 Current computational approaches of drug screening第24-25页
    2.4 In silico ADME methods for drug discovery第25-30页
        2.4.1 Drug-likeness第26-27页
        2.4.2 Oral bioavailability prediction第27-28页
        2.4.3 Human intestinal absorption prediction第28页
        2.4.4 Blood-brain barrier permeation第28-29页
        2.4.5 Drug metabolism prediction第29-30页
    2.5 Target Identification for drug discovery第30-34页
        2.5.1 Direct biochemical methods第31-32页
        2.5.2 ‘Omics’ methods第32页
        2.5.3 Computational inference methods第32-34页
    2.6 Systems and combination approaches to drug safety第34-37页
Chapter 3: Pred-binding: Large-scale of protein-ligand binding affinity prediction第37-45页
    3.1 Computation of molecular and protein descriptors第37-41页
    3.2 Construction of training set and test set第41-42页
    3.3 Support vector machine第42-43页
    3.4 Random forest第43-44页
    3.5 Model validation第44-45页
Chapter 4: Results and Discussion第45-62页
    4.1 Support vector machine (SVM)第45-47页
    4.2 Random forest第47-57页
    4.3 Conclusions第57-62页
Chapter 5: Perspective and Challenges第62-65页
Acknowledgement第65-66页
Reference第66-77页
ABBREVIATIONS第77-78页
Curriculum Vitae第78-81页

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