Bioinformatics and Computational Biology in Drug Discovery and Development
- English
- PDF
- Available on iOS & Android
Bioinformatics and Computational Biology in Drug Discovery and Development
About this book
Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.
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Information
Table of contents
- Cover
- Half-title
- Title page
- Copyright information
- Table of contents
- List of contributors
- Foreword
- Acknowledgments
- 1 The art and science of the drug discovery pipeline
- 2 Computational approaches to drug target identification
- 3 Understanding human disease knowledge through text mining
- 4 Integrating translational biomarkers into drug development
- 5 Computational phenotypic assessment of small molecules in drug discovery
- 6 Data visualization and the DDP process
- 7 Information visualization – important IT considerations
- 8 Example of computational biology at the new drug application (NDA) and regulatory approval stages
- 9 Clinical trial failures and drug repositioning
- Appendix I Additional knowledge-based analysis approaches
- Appendix II Open source tools and public data sources
- Index
- Plates