2025/11/02 by Ndenga, Barack
paper · doi:10.60763/africarxiv/10180
The Photonically-Assisted AI Drug Design Pipeline (PAI-DDP) introduces a transformative approach to computational pharmacology by integrating photonics and artificial intelligence (AI). This hybrid framework accelerates molecular simulations using light-based computation while AI algorithms iteratively optimize drug candidates in real time. The approach significantly reduces drug discovery timelines, enhances predictive accuracy for binding affinity and molecular stability, and enables personalized therapeutic design. Applications include oncology, virology, neurodegenerative diseases, and antimicrobial research. PAI-DDP represents a paradigm shift where photons not only visualize molecular structures but actively compute their therapeutic potential.