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.