Probabilistic Scoring in StarDrop

A high quality drug must exhibit a balance of many properties, including potency, ADME and safety. In drug discovery this is particularly challenging due to complex, often conflicting property requirements combined with uncertain data because of experimental variability or predictive error.

StarDrop’s unique probabilistic scoring enables you carry out multi-parameter optimisation (MPO), enabling you to identify those compounds that have the best balance of those properties necessary for success in your projects. You can define the weighted profile of property criteria for your project and compare all your candidate molecules against these requirements to quickly see which are most and least likely to succeed.

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Allow for uncertainty:

Confidence in each score is calculated to highlight statistically significant compounds

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Weighted properties

Allow for trade-offs between properties for your particular project.

Use data from any source

Including StarDrop’s ADME QSAR or Metabolism modules, toxicity alerts from the Derek Nexus module or imported in vitroin vivo or in silico data.

Multi-parameter optimisation

Profiles can be customisable for any project within an intuitive interface.

Multi-parameter optimisation resources

Ready to use StarDrop’s probabilistic scoring on your projects?

If you’d like to try StarDrop’s probabilistic scoring, simply complete the form and a member of the team will get in touch to understand your needs.

Why StarDrop?

With its comprehensive suite of integrated software, StarDrop delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop enables a seamless flow from the latest data through predictive modelling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process.