Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences combines chemoinformatics and bioinformatics to improve drug discovery. It presents advancements in technology and computational approaches to reduce the financial and experimental burden of the drug discovery process, useful for pharmaceutical science researchers, students, and stakeholders from industry and academia.

Format: Paperback / softback
Length: 510 pages
Publication date: 21 May 2021
Publisher: Elsevier Science Publishing Co Inc

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences is a groundbreaking exploration that brings together two crucial fields in pharmaceutical sciences, often perceived as divergent: chemoinformatics and bioinformatics. The development of drugs is a costly and time-consuming endeavor, making technological advancements essential in enhancing the efficiency, speed, and cost-effectiveness of drug discovery and testing. This comprehensive book showcases the latest technological advancements in drug development and elucidates how computational approaches can alleviate the financial and experimental burdens associated with this process.

The book is particularly valuable for pharmaceutical science researchers and students seeking a fundamental understanding of computational techniques relevant to their projects. It also serves as a valuable resource for bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia who are interested in staying abreast of the latest developments in this field.

In Chapter 1, the authors provide an introduction to chemoinformatics and bioinformatics, highlighting their historical development, core concepts, and applications in drug discovery. They discuss the importance of integrating these two fields to facilitate efficient data analysis and interpretation, leading to the identification of novel drug leads and the optimization of drug development processes.

Chapter 2 delves into the computational techniques used in chemoinformatics and bioinformatics, including molecular modeling, structure-activity relationship analysis, and virtual screening. The authors explain how these techniques enable the prediction of drug properties, such as potency, selectivity, and toxicity, and facilitate the design of new drugs with improved properties. They also discuss the challenges and limitations of these techniques and the ongoing efforts to improve their accuracy and efficiency.

Chapter 3 explores the role of databases and information systems in drug discovery. The authors discuss the development of specialized databases, such as PubChem, ChEMBL, and DrugBank, that store and organize large amounts of chemical and biological data. They discuss the importance of these databases in facilitating drug discovery research, enabling researchers to access and analyze data quickly and efficiently.

Chapter 4 discusses the application of chemoinformatics and bioinformatics in drug target identification and validation. The authors explain how these techniques can be used to identify potential drug targets based on molecular properties, such as protein structure or genetic mutations, and validate these targets through experimental validation. They also discuss the challenges and limitations of drug target identification and validation and the ongoing efforts to improve these processes.

Chapter 5 explores the application of chemoinformatics and bioinformatics in drug discovery and development. The authors discuss how these techniques can be used to optimize drug design, identify potential drug-drug interactions, and predict drug metabolism and pharmacokinetics. They also discuss the challenges and limitations of these techniques and the ongoing efforts to improve these processes.

Chapter 6 discusses the application of chemoinformatics and bioinformatics in personalized medicine. The authors explain how these techniques can be used to tailor drug treatment to individual patients based on their genetic makeup, medical history, and other factors. They discuss the challenges and limitations of personalized medicine and the ongoing efforts to develop effective personalized medicine approaches.

Chapter 7 discusses the application of chemoinformatics and bioinformatics in drug discovery and development in emerging countries. The authors discuss the unique challenges and opportunities faced by drug discovery researchers in developing countries, such as limited access to technology and resources, and discuss how these challenges can be overcome through collaboration and partnerships.

Chapter 8 discusses the future of chemoinformatics and bioinformatics in drug discovery. The authors discuss the emerging trends and technologies that will shape the future of drug discovery, such as artificial intelligence, machine learning, and big data analysis. They also discuss the challenges and limitations of these technologies and the ongoing efforts to develop and implement them effectively.

In conclusion, Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences is a comprehensive and authoritative guide to the latest technological advancements in drug discovery. It provides a solid foundation for pharmaceutical science researchers and students seeking to understand the computational techniques and applications relevant to their projects. The book also serves as a valuable resource for bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia who are interested in staying abreast of the latest developments in this field. By integrating chemoinformatics and bioinformatics, we can enhance the efficiency, speed, and cost-effectiveness of drug discovery, leading to the development of new treatments for diseases and improving the quality of life for patients worldwide.

Weight: 1070g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128217481