Computer-AIded Drug Design and Its Applications in Cancer Research: A Review

Computer-aided drug design (CADD) has become a crucial tool in cancer research, leveraging advanced computational techniques to accelerate drug discovery and develop targeted anticancer agents. By simulating molecular interactions and predicting the behavior of potential drug candidates, CADD aids in identifying novel compounds with enhanced specificity and reduced toxicity. Virtual screening, a key element of CADD, allows rapid assessment of thousands of compounds to target specific cancer-related proteins or pathways. Molecular dynamics simulations provide insights into protein conformational changes and their interactions with small molecules, facilitating rational drug design. Molecular docking predicts the binding affinity and orientation of ligands within protein binding sites, streamlining the identification of potential drug candidates and reducing experimental trial and error. Quantitative structure-activity relationship models quantitatively relate chemical structures to biological activities, optimizing drug candidates by refining chemical scaffolds to enhance efficacy and minimize toxicity. CADD’s impact on drug development is significant, paving the way for specialized and targeted cancer treatments, offering hope for novel medications with improved effectiveness and fewer adverse effects.