Publication

Abstract : The structural landscape of proteins serves as a molecular blueprint for drug discovery, offering critical insights into target interactions, binding mechanisms, and rational drug design. Advances in structural biology, including X-ray crystallography, cryo-electron microscopy, and computational modeling, have revolutionized the understanding of protein conformations and dynamics. By integrating structural insights with computational drug design, researchers can predict ligand-binding affinities, optimize drug candidates, and enhance target specificity in an effective manner. This approach has proven instrumental in developing novel therapeutics for diseases ranging from cancer to neurodegenerative disorders. Furthermore, techniques like structure-based drug discovery (SBDD), Ligand based drug design (LBDD), Pharmacophore based drug discovery and molecular dynamics enables the identification of allosteric sites, fostering the development of selective modulators with improved efficacy and reduced off-target effects. This review highlights the pivotal role of protein structure analysis in modern drug discovery, emphasizing its applications in hit identification, lead optimization, and the design of precision therapeutics. Understanding protein structure at atomic resolution remains the cornerstone of rational drug design, paving the way for more effective and personalized therapeutics.