فهرست مطالب کتاب بیوانفورماتیک و کشف دارو:

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v

Contributors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix

PART I TRANSLATIONAL BIOINFORMATICS IN DRUG DISCOVERY

1 Miniaturized Checkerboard Assays to Measure Antibiotic Interactions. . . . . . . . . 3

2 High-Throughput Screening for Drug Combinations . . . . . . . . . . . . . . . . . . . . . . . 11

3 Post-processing of Large Bioactivity Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

4 How to Develop a Drug Target Ontology: Knowledge Acquisition and Representation Methodology (KNARM). . . . . . . . . . . . . . . . . . . . 49

PART II INFORMATICS IN DRUG DISCOVERY

5 A Guide to Dictionary-Based Text Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

6 Leveraging Big Data to Transform Drug Discovery . . . . . . . . . . . . . . . . . . . . . . . . . 91

7 How to Prepare a Compound Collection Prior to Virtual Screening . . . . . . . . . . 119

8 Building a Quantitative Structure-Property Relationship (QSPR) Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

9 Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility-Mass Spectrometry (IM-MS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161

PART III CLINICAL RESEARCH INFORMATICS IN DRUG DISCOVERY

10 A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181

11 Omics Data Integration and Analysis for Systems Pharmacology. . . . . . . . . . . . . . 199

12 Bioinformatics-Based Tools and Software in Clinical Research: A New Emerging Area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215

13 Text Mining for Drug Discovery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

PART IV CLINICAL INFORMATICS IN DRUG DISCOVERY

14 Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

15 Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273

16 Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287

17 A Bayesian Network Approach to Disease Subtype Discovery . . . . . . . . . . . . . . . . 299

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323

لینک دانلود (کلیک کنید)