Editors: Dilpreet Singh, Prashant Tiwari

Software and Programming Tools in Pharmaceutical Research

eBook: US $59 Special Offer (PDF + Printed Copy): US $106
Printed Copy: US $77
Library License: US $236
ISBN: 978-981-5223-02-6 (Print)
ISBN: 978-981-5223-01-9 (Online)
Year of Publication: 2023
DOI: 10.2174/97898152230191240101


Software and Programming Tools in Pharmaceutical Research is a detailed primer on the use for computer programs in the design and development of new drugs. Chapters offer information about different programs and computational techniques in pharmacology. The book will help readers to harness computer technologies in pharmaceutical investigations. Readers will also appreciate the pivotal role that software applications and programming tools play in revolutionizing the pharmaceutical industry.

The book includes nine structured chapters, each addressing a critical aspect of pharmaceutical research and software utilization. From an introduction to pharmaceutical informatics and computational chemistry to advanced topics like molecular modeling, data mining, and high-throughput screening, this book covers a wide range of topics.

Key Features:

  • - Practical Insights: Presents practical knowledge on how to effectively utilize software tools in pharmaceutical research.
  • - Interdisciplinary Approach: Bridges the gap between pharmaceutical science and computer science
  • - Cutting-Edge Topics: Covers the latest advancements in computational drug development, including data analysis and visualization techniques, drug repurposing, pharmacokinetic modelling and screening.
  • - Recommendations for Tools: Includes informative tables for software tools
  • - Referenced content: Includes scientific references for advanced readers

The book is an ideal primer for students and educators in pharmaceutical science and computational biology, providing a comprehensive foundation for this rapidly evolving field. It is also an essential resource for pharmaceutical researchers, scientists, and professionals looking to enhance their understanding of software tools and programming in drug development.


Pharmaceutical researchers, scientists, and professionals; students and educators in pharmacology and computational biology.


The research and development of new pharmaceuticals are carried out with various pharmaceutical hurdles, ethical ramifications, and social duties, along with the approach seeming obscure. The current pharmaceutical research needs creativity, which is the prime lifeblood of every industry. Nowadays, only computer software in the field of pharmaceutical sciences makes it possible to comprehend complicated processes and manage resources, money, and labor effectively and efficiently. Computer software may relieve medical professionals of tedious multitasking processes and complicated prescreening and evaluation of resource materials. The use of computers in all stages of drug discovery, development, and marketing is addressed holistically and comprehensively in this unique contributed work. It explains the process of simulations such as added functions, data mining, predicting human response, quality by design and artificial intelligence to develop cost-effective drugs, multi-formulation approaches, and high-throughput screening which are applied at various phases in clinical development. The book gives readers a comprehensive overview and a systems viewpoint from which they can design strategies to fully utilize the use of computers in their pharmaceutical industry throughout all stages of the discovery and development process. Researchers working in informatics and ADMET, drug discovery, and technology development, as well as IT professionals and scientists in the pharmaceutical sector, should read this. The book's multifaceted, cross-functional approach offers a singular chance for a comprehensive investigation and evaluation of computer applications in pharmaceutics.

There are the following sections in the book: the role of computers in drug discovery, preclinical development, clinical development, drug delivery, systemic optimization, understanding diseases and repurposing, advanced computer-aided functions to optimize biopharmaceutical variables and future applications, and future development. To maintain a consistent structure and approach throughout the book, each chapter is thoroughly revised after being authored by one or more of the foremost authorities in the field. Figures are frequently used to explain intricate ideas and diverse processes. Each chapter includes references so that readers can keep digging into a particular subject. Finally, many of the chapters provide tables of software resources.

Dilpreet Singh
Department of Pharmaceutics
ISF College of Pharmacy
Moga, India


Prashant Tiwari
Department of Pharmaceutical Sciences
Dayanand Sagar University
Bengaluru, India


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