The book summarizes the role of multiple enzyme targets and strategies to design and develop novel drug candidates for Alzheimer's disease (AD). Insights from researchers across the globe from diverse fields are presented in a thematic volume. The chapters highlight current information scientists have unraveled about the origin, pathogenesis and prevention of AD. The contributions consider both established and emerging drug targets viz. Tau proteins, TREM, and microglia. Topics covered in the book include multi-target anti-Alzheimer's agents, epigenetic modifications, and the role of specific proteins like TMP21 and Tau in AD. A section dedicated to pharmacological treatments discusses the significance of tubulin-modifying enzymes, memantine, and glutamate antagonists. Enzymatic targets for drug discovery are thoroughly examined, focusing on cholinesterase, secretases, and other enzymes. Additionally, the book explores innovative nano-carrier-based drug delivery methods, emphasizing the crucial role of nanotechnology in effective Alzheimer's treatment. The book aims to inform students and researchers in the field of neuroscience, medicine and pharmacology about current research and biochemical nuances of AD pathogenesis and enzymatic drug targeting strategies.

Biotechnology and Drug Development for Targeting Human Diseases is an insightful compendium on drug development technologies for professionals and students in biotechnology and pharmacology. This book meticulously explores the intersection of biotechnology with drug development, emphasizing its crucial role in creating new therapies for human disease. Central to the book is the innovative use of biotechnology in understanding and treating diseases. It begins with an exploration of multi-omics profiles, shedding light on disease mechanisms and drug development. Subsequent chapters explain in silico methods for drug design, the role of natural products in antimicrobial applications and wound healing, and the use of viruses as carriers in biotechnology. Key features of this reference include a blend of theoretical knowledge and practical insights, detailed analyses of molecular docking in drug discovery, the repurposing of drugs for various diseases, and the emerging field of omics technologies in drug interaction studies. Each chapter is comprehensive, offering current information backed by extensive references, making the book both a foundational and advanced resource.

Computational Toxicology for Drug Safety and a Sustainable Environment is a primer on computational techniques in environmental toxicology for scholars. The book presents 9 in-depth chapters authored by expert academicians and scientists aimed to give readers an understanding of how computational models, software and algorithms are being used to predict toxicological profiles of chemical compounds. The book also aims to help academics view toxicological assessment from the lens of sustainability by providing an overview of the recent developments in environmentally-friendly practices. The chapters review the strengths and weaknesses of the existing methodologies, and cover new developments in computational tools to explain how researchers aim to get accurate results. Each chapter features a simple introduction and list of references to benefit a broad range of academic readers. List of topics: 1. Applications of computational toxicology in pharmaceuticals, environmental and industrial practices 2. Verification, validation and sensitivity studies of computational models used in toxicology assessment 3. Computational toxicological approaches for drug profiling and development of online clinical repositories 4. How to neutralize chemicals that kill environment and humans: an application of computational toxicology 5. Adverse environmental impact of pharmaceutical waste and its computational assessment 6. Computational aspects of organochlorine compounds: DFT study and molecular docking calculations 7. In-silico studies of anisole and glyoxylic acid derivatives 8. Computational toxicology studies of chemical compounds released from firecrackers 9. Computational nanotoxicology and its applications.

This book provides a compressive overview of nanotechnology in modern drug discovery for students and researchers. The book starts with the fundamentals of nanotechnology followed by nanomaterials in pharmaceutical drug design, drug delivery applications, regulatory aspects, formulation and nanoparticle biotransformation. It provides a step by step guide through the drug development process while conveying information about the benefits of nanomaterials for therapy. The book concludes with perspective on the future of nanotechnology-based drug discovery, summarizing current knowledge on nanotherapeutics and translational medicine. Key Features - Explains the fundamentals of nanotechnology in drug discovery - Includes up-to-date information on modern nanopharmaceutical manufacturing, nanomaterials, and nanoparticle-based drug therapy - Practice questions for learners and a list of references for advanced readers for each chapter

AI Innovations in Drug Delivery and Pharmaceutical Sciences: Advancing Therapy through Technology offers a comprehensive exploration of how artificial intelligence (AI) is revolutionizing the pharmaceutical and healthcare sectors. This book addresses the AI’s role in drug discovery, development, and delivery, highlighting applications in personalized medicine, nanotechnology, and clinical trials. It also covers AI’s impact on community and hospital pharmacy, herbal medicine, and drug product design. Each chapter examines the use of AI in optimizing drug processes, from designing innovative therapies to improving regulatory compliance and future trends in pharmaceutical technology. This insightful resource is invaluable for researchers, pharmaceutical professionals, and healthcare innovators aiming to advance therapeutic outcomes through AI. Key Features: - Comprehensive coverage of AI applications in drug discovery, delivery, and design. - Insights into AI-driven personalized medicine and nanotechnology. - Regulatory perspectives on AI in drug delivery and medical devices. - Future trends and innovations in AI for pharmaceutical technology.