Computational approaches are being used to streamline drug discovery, with emerging innovations in physics- and knowledge-based methods being explored. Artificial intelligence and quantum machine-assisted techniques are also being applied to various aspects of the process, including target-based discovery and the repurposing of existing drugs. The use of these computational methods is being investigated for their potential to improve the efficiency and effectiveness of drug development, including for specific areas such as antibacterial and cancer therapeutics.