Optimizing Drug Discovery in Resource-Limited Settings: Multi-Parameter Optimization and Data-Driven Workflows

The discovery of novel chemical entities for therapeutic use is a resource-intensive process. Given the constraints of drug discovery resources, it is crucial to allocate assets thoughtfully. This study identifies gaps in research organizations operating under resource limitations and proposes a pragmatic workflow tailored to these settings. This approach uses freely available tools to facilitate the determination of the clearance mechanism for the strategic advancement of chemical entities through data-informed decision-making processes while maximizing the efficiency.