By defining the optimal properties for your project, StarDrop's unique probabilistic scoring helps you rapidly prioritise compounds for further testing. By comparing all your candidate molecules against a weighted profile of required properties you can quickly see which are most and least likely to succeed.
- Allow for uncertainty: confidence in each score is calculated to highlight statistically significant compounds
- Weighted properties: allow for trade-offs between properties for your particular project
- Use data from any source: StarDrop ADME QSAR or P450 models or imported in vitro, in vivo or in silico data
If you would like to know more about how probabilistic scoring works, take a look at the FAQs.
"For an example of where probabilistic scoring was used to help one of our customer's take a look at the case study "Focusing resources in hit-to-lead"."
