This e-book presents an overview of the different substances capable of modulating potassium channels in relation to various clinical indications in cardiology, pulmonology, endocrinology and neurology. The possible benefits and side effects of potassium channel modulators is discussed in correlation with biophysical and pharmacological properties of ion channels. Readers will learn how mutation of K+ channels can be conferred by molecular processes such as alternative splicing, RNA editing and posttranslational modifications. Altogether, this e-book will be of use to clinical practitioners, electrophysiologists and pharmacologists interested in the complicated but fascinating science of potassium channels.

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

Computer-Aided Drug Discovery Methods: A Brief Introduction explores the cutting-edge field at the intersection of computational science and medicinal chemistry. This comprehensive volume navigates from foundational concepts to advanced methodologies, illuminating how computational tools accelerate the discovery of new therapeutics. Beginning with an overview of drug discovery principles, the book explains topics such as pharmacophore modeling, molecular dynamics simulations, and molecular docking. It discusses the application of density functional theory and the role of artificial intelligence in therapeutic development, showcasing successful case studies and innovations in COVID-19 research. Ideal for undergraduate and graduate students, as well as researchers in academia and industry, this book serves as a vital resource in understanding the complex landscape of modern drug discovery. It emphasizes the synergy between computational methods and experimental validation, shaping the future of pharmaceutical sciences toward more effective and targeted therapies.

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.