eBook - PDF
In Silico Technologies in Drug Target Identification and Validation
- 504 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
In Silico Technologies in Drug Target Identification and Validation
About this book
The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Ide
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Yes, you can access In Silico Technologies in Drug Target Identification and Validation by Darryl Leon, Scott Markel in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmacology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Foreword
- Preface
- Editors
- Acknowledgments
- Contributors
- Contents
- 1. Introduction
- 2. Pattern Matching
- 3. Tools for Computational Protein Annotation and Function Assignment
- 4. The Impact of Genetic Variationon Drug Discovery and Development
- 5. Mining of Gene-Expression Data
- 6. Text Mining
- 7. Pathways and Networks
- 8. Molecular Interactions: Learning from Protein Complexes
- 9. In Silico siRNA Design
- 10. Predicting Protein Subcellular Localization Using Intelligent Systems
- 11. Three-Dimensional Structures in Target Discovery and Validation
- 12. Comparative Genomics
- 13. Pharmacogenomics
- 14. Target Identification and Validation Using Human Simulation Models
- 15. Using Protein Targets for In Silico Structure-Based Drug Discovery
- 16. Database Management
- 17. BioIT Hardware Configuration
- 18. BioIT Architecture: Software Architecture for Bioinformatics Research
- 19. Workflows and Data Pipelines
- 20. Ontologies
- Index