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.

Topics Covered
The many academic areas covered in this publication include, but are not limited to:
•Chemical Structure Databases
•Dataset Utilization
•Drug Design
•Molecular Modeling
•Preclinical Drug Characterization
•Predictive Virtual Screenings
•Properties of Piperine
•Prospects of Drug Technology
•QSAR Applications
•Sequencing Techniques
•Therapeutic Activity