Bioinformatics and Drug Discovery

ISBN-13: 9781493959297 / Angielski / Miękka / 2016 / 374 str.

Richard S. Larson

Opis

The 2nd edition of this Methods in Molecular Biology(TM) book covers new techniques in target identification, genomic analysis, cheminformatics, protein analysis and network or pathway analysis. Includes detailed advice on getting optimal laboratory results.

Spis treści

1. Cell Perturbation Screens for Target Identification by RNAi

Kubilay Demir and Michael Boutros

 

2. Using Functional Genomics to Identify Drug Targets: a Dupuytren’s Disease Example

Mirela Sedic, Sandra Kraljevic Pavelic, Karlo Hock

 

3. Functional Characterization of Human Genes from Exon Expression and RNA Interference Results

Dorothea Emig, Hagen Blankenburg, Fidel Ramírez, and Mario Albrecht

 

4. Barcode Sequencing for Understanding Drug-gene Interactions

Andrew M. Smith, Tanja Durbic, Saranya  Kittanakom, Guri Giaever, Corey Nislow

 

5. High-Throughput Sequencing of the Methylome Using Two-Base Encoding

Christina A. Bormann Chung

 

6. Applications and Limitations of In Silico Models In Drug Discovery

Ahmet Secan, Sean Ekins, and Sandhya Kortagere

 

7. Compound Collection Preparation for Virtual Screening

Cristian G. Bologa and Tudor I. Oprea

 

8. Mapping Between Databases of Compounds and Protein Targest

Sorel Muresan, Markus Sitzmann, and Christopher Southan

 

9. Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-Array and Gene Expression Data

N. Sukumar, Michael P. Krein, Mark J. Embrechts

 

10. Advances in Nuclear Magnetic Resonance for Drug Discovery

Laurel O. Sillerud, and Richard S. Larson

 

11. Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance

Toshihisa Ishikawa, Hikaru Saito, Hiroyuki Hirano, Yutaka Inoue, Yoji Ikegami

 

12. Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection

Javier De Las Rivas and Carlos Prieto

 

13. Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis

Benjamin J. Keller, Sebastian Martini, Viji Nair

 

14. Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes

M. Saleet Jafri

 

15. Integration of Multiple Ubiquitin Signals in Proteasome Regulation

Marta Isasa, Alice Zuin and Bernat Crosas

 

 

4. Barcode Sequencing for Understanding Drug-gene Interactions

Andrew M. Smith, Tanja Durbic, Saranya  Kittanakom, Guri Giaever, Corey Nislow

 

5. High-Throughput Sequencing of the Methylome Using Two-Base Encoding

Christina A. Bormann Chung

 

6. Applications and Limitations of In Silico Models In Drug Discovery

Ahmet Secan, Sean Ekins, and Sandhya Kortagere

 

7. Compound Collection Preparation for Virtual Screening

Cristian G. Bologa and Tudor I. Oprea

 

8. Mapping Between Databases of Compounds and Protein Targest

Sorel Muresan, Markus Sitzmann, and Christopher Southan

 

9. Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-Array and Gene Expression Data

N. Sukumar, Michael P. Krein, Mark J. Embrechts

 

10. Advances in Nuclear Magnetic Resonance for Drug Discovery

Laurel O. Sillerud, and Richard S. Larson

 

11. Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance

Toshihisa Ishikawa, Hikaru Saito, Hiroyuki Hirano, Yutaka Inoue, Yoji Ikegami

 

12. Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection

Javier De Las Rivas and Carlos Prieto

 

13. Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis

Benjamin J. Keller, Sebastian Martini, Viji Nair

 

14. Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes

M. Saleet Jafri

 

15. Integration of Multiple Ubiquitin Signals in Proteasome Regulation

Marta Isasa, Alice Zuin and Bernat Crosas

 

 

10. Advances in Nuclear Magnetic Resonance for Drug Discovery

Laurel O. Sillerud, and Richard S. Larson

 

11. Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance

Toshihisa Ishikawa, Hikaru Saito, Hiroyuki Hirano, Yutaka Inoue, Yoji Ikegami

 

12. Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection

Javier De Las Rivas and Carlos Prieto

 

13. Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis

Benjamin J. Keller, Sebastian Martini, Viji Nair

 

14. Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes

M. Saleet Jafri

 

15. Integration of Multiple Ubiquitin Signals in Proteasome Regulation

Marta Isasa, Alice Zuin and Bernat Crosas

 

 

12. Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection

Javier De Las Rivas and Carlos Prieto

 

13. Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis

Benjamin J. Keller, Sebastian Martini, Viji Nair

 

14. Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes

M. Saleet Jafri

 

15. Integration of Multiple Ubiquitin Signals in Proteasome Regulation

Marta Isasa, Alice Zuin and Bernat Crosas

 

Blurb

Recent advances in drug discovery have been rapid.  The second edition of  Bioinformatics and Drug Discovery has been completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway analysis. Each chapter provides an extended introduction that describes the theory and application of the technology. In the second part of each chapter,  detailed procedures related to the use of these technologies and software have been incorporated. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.

Thorough and intuitive, Bioinformatics and Drug Discovery, Second Edition  seeks to aid scientists in the further study of the rapidly expanding field of drug discovery.