Making efficient progress relies on quickly focussing project resources on regions of chemical space that are most likely to yield successful compounds. StarDrop's chemical space visualisation allows you to explore the full chemical space of your project to identify areas with good properties. Coupled with StarDrop's probabilistic scoring, this can rapidly identify chemistries with an optimal balance of properties for your project's goals.
When selecting compounds for progression, it is also important to find an appropriate balance of quality and diversity, particularly when dealing with uncertain data in early discovery. This allows you to spread the risk across different, high quality chemistries and to confirm the findings of in silico or early in vitro data.
