Vol. 6, Issue 1, Part A (2024)

This research article provides a comprehensive overview of the recent advances, challenges, and applications in drug discovery, emphasizing the integration of multidisciplinary approaches from target identification to clinical application. With a focus on emerging technologies, computational methods, and evolving paradigms, this article aims to shed light on the dynamic landscape of drug discovery and its potential to transform healthcare. Drug discovery is the process of identifying and characterizing molecules that can safely modulate disease. The goal is to bring medicines that can improve the lives of patients. Drug discovery and development are the most important translational science activities that advance human health and well-being. The main goal of Drug discovery campaigns is to identify new molecular entities that may be valuable in the treatment of diseases that meet unmet medical needs. It is a long and resource-intensive process that requires close collaboration between several disciplines. Optimizing the Drug discovery process is of great interest to the pharmaceutical industry, because the effective identification and selection of suitable drug candidates can have a dramatic impact on the cost and profitability of new drugs, as well as factors affecting drug, pharmacodynamic and drug balance Pharmacokinetic properties. Drug discovery is a risky and rewarding business that requires a multidisciplinary approach. An optimal Drug discovery unit integrates the science of various functions, including chemistry, biology, clinical science and toxicology. Because computational approaches are an integral part of interdisciplinary drug development, it is important to understand the tools used and their potential and limitations. In the current scenario, researchers apply a wide range of computational approaches, with a special focus on medicinal chemistry and Drug discovery and their practical applications. Here, current trends in computational chemistry and computer-aided Drug discovery can accelerate the Drug discovery process.