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.