<p><i>Carbohydrates in Drug Discovery and Development: Synthesis and Application</i> examines important developments in the synthesis, biology and biomedical applications of carbohydrates, along with the therapeutic and pharmacological aspects of carbohydrate chemistry. In addition to the advancemen
Computer Applications in Drug Discovery and Development
β Scribed by A. Puratchikody, S. Lakshmana Prabu, A. Umamaheswari
- Publisher
- Medical Information Science Reference
- Year
- 2018
- Tongue
- English
- Leaves
- 348
- Series
- Advances in Medical Technologies and Clinical Practice (AMTCP)
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds. Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.
β¦ Table of Contents
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Chapter 1: Drug Discovery
Chapter 2: Chemical Structure Databases in Drug Discovery
Chapter 3: Lead Optimization in the Drug Discovery Process
Chapter 4: QSAR and Lead Optimization
Chapter 5: Virtual Screening and Its Applications in Drug Discovery Process
Chapter 6: Computational Investigation of Versatile Activity of Piperine
Chapter 7: Target Identification of HDAC8 Isoform for the Treatment of Cancer
Chapter 8: Molecular Modelling Studies of Novel COX-2 Inhibitors
Chapter 9: Construction and Analysis of Protein-Protein Interaction Network
Chapter 10: Quality by Design in Pharmaceutical Formulation
Chapter 11: The Next Generation Sequencing Techniques and Application in Drug Discovery and Development
Chapter 12: Semantic Technologies for Medical Knowledge Representation
Compilation of References
About the Contributors
Index
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