Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences
- 510 pages
- English
- ePUB (mobile friendly)
- Only available on web
Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences
About This Book
Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process.
This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful.
- Provides practical information on how to choose and use appropriate computational tools
- Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format
- Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics
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Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Chapter 1. Impact of chemoinformatics approaches and tools on current chemical research
- Chapter 2. Structure- and ligand-based drug design: concepts, approaches, and challenges
- Chapter 3. Advances in structure-based drug design
- Chapter 4. Computational tools in cheminformatics
- Chapter 5. Structure-based drug designing strategy to inhibit protein-protein-interactions using in silico tools
- Chapter 6. Advanced approaches and in silico tools of chemoinformatics in drug designing
- Chapter 7. Chem-bioinformatic approach for drug discovery: in silico screening of potential antimalarial compounds
- Chapter 8. Mapping genomes by using bioinformatics data and tools
- Chapter 9. Python, a reliable programming language for chemoinformatics and bioinformatics
- Chapter 10. Unveiling the molecular basis of DNAâprotein structure and function: an in silico view
- Chapter 11. Computational cancer genomics
- Chapter 12. Computational and functional annotation at genomic scale: gene expression and analysis
- Chapter 13. Computational methods (in silico) and stem cells as alternatives to animals in research
- Chapter 14. An introduction to BLAST: applications for computer-aided drug design and development
- Chapter 15. Pseudoternary phase diagrams used in emulsion preparation
- Index