Affiliation:
1. Chandigarh University, India
Abstract
The integration of artificial intelligence (AI) into the drug research and optimisation process is a significant breakthrough, known as the AI Pharmacist. This innovative method streamlines multiple phases of drug discovery, facilitating swift analysis of extensive datasets to pinpoint potential molecules with high prospects. By utilising predictive modelling, this process simplifies the optimisation of molecular structures to improve their effectiveness and safety characteristics. The AI Pharmacist utilises AI algorithms to expedite the identification of prospective medication candidates while reducing the reliance on labour-intensive manual work. This not only accelerates the timeline for drug development but also enhances the accuracy and dependability of the outcomes. The main features of its functioning consist of molecular interaction analysis, predictive modelling, and automated optimisation methods.