Convergence of Biotechnology and Quantum Chemistry for Next-Generation Drug Design

This study proposes an integrated computational framework combining biotechnology and quantum chemistry for next-generation drug design. By leveraging molecular dynamics, quantum calculations, and machine learning, the approach enables accurate prediction of drug–protein interactions. The framework aims to optimize molecular candidates with high specificity, stability, and targeted activity. Ultimately, this research contributes to personalized medicine and intelligent drug-design systems.