Academic Press Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences

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. Review Presents the basics of computational approaches, hence reducing the financial and experimental burden of the drug discovery process From the Back Cover Chemoinformatics and Bioinformatics in Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. 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 the computational approaches explained here can reduce the financial and experimental burden of drug discovery process. This book presents basic knowledge on chemoinformatics and bioinformatics approaches for drug development for those entering or establishing themselves in the pharmaceutical sciences field. Chemoinformatics and Bioinformatics in Pharmaceutical Sciences will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists as well as several stakeholders from industry and academia will also find this book helpful. About the Author Dr. Navneet Sharma is the DST-Young Scientist at Indian Institute of Technology (IIT) - Delhi. Previously, to join IIT he had a research experience of 5 years at Defence Research and Development Organization (DRDO), Delhi, India under the prestigious DRDO Research Fellowship. He had completed his PhD from the DIPSAR, University of Delhi, India. He has extensive research, academic and education background in the field of computational chemistry, toxicology and pharmaceutical sciences. He had filled 4 patents along with 27 publications and authored 4 book chapters and 2 books. He is also the winner of the several international and national awards conferred by VIHA international foundation, CSIR-New Delhi, Department of Science and Technology-India and Indian Council of Medical Research. His special interest lies in the implementation of the computational techniques in Pharmaceutical Sciences. Dr. Himanshu Ojha has a BSc, MSc, and Ph.D. in Chemistry Honors from University of Delhi. His Ph.D. work involved the design, synthesis and biological evaluation of s-triazine derivatives for antimalarial activity against Plasmodium falciparum. He is now a senior scientist in Division of CBRN Defence of Institute of Nuclear Medicine and Allied Sciences.He had extensively worked on DFT studies of bimolecular interactions and reaction pathways. He has designed quite large number of new drug like compounds for various applications using virtual computational algorithms, QSAR and molecular docking. He has worked extensively in the field of 2D and 3D Quantitative structure activity relation (QSAR) studies to identify lead compounds for various particular applications. H