Artificial Intelligence in Drug Discovery: A Review
The integration of Artificial Intelligence (AI) into drug discovery presents a significant advancement in the pharmaceutical industry. Artificial Intelligence has the ability to analyze large datasets, predict biological activity, and streamline complex processes in transforming traditional methodologies. This review outlines the current applications, benefits, and future prospects of Artificial Intelligence in drug discovery. Current Applications of Artificial Intelligence (AI) Target Identification and Validation: Artificial Intelligence algorithms analyze genetic and proteomics data to identify potential drug targets. The Machine learning(ML) models can predict the importance of these targets to specific diseases thereby fastening the initial phases of drug discovery. Compound Screening: Virtual screening powered by Artificial Intelligence evaluates large libraries of compounds to identify potential drug candidates. The Deep learning(ML) models can predict how these