Computational Study of Enzyme Inhibition.

Computational approaches have become essential in modern drug discovery, significantly reducing the time and cost associated with identifying and optimizing new enzyme inhibitors. This chapter explores key computational techniques, including molecular docking, molecular dynamics, and QSAR modeling, which enhance the accuracy and efficiency of drug design. Furthermore, advancements in artificial intelligence and machine learning are increasingly integrated into these methodologies, improving predictive modeling and target validation. Despite challenges, such as system complexity and algorithm limitations, computational methods continue to evolve, bridging the gap between theoretical predictions and experimental validation. This chapter discusses the latest trends, software tools, and case studies, emphasizing their role in accelerating drug development and improving therapeutic outcomes.