Before committing resources to in vivo and in vitro studies, it's vital to know you're working with the best molecules. StarDrop is built to help you predict a wide range of ADME and physiochemical properties in silico, allowing you to explore all your options and giving you confidence in your decisions - and all with an intuitive, interactive graphical interface.
- Model validation: independent test sets are used to validate every model
- Prediction confidence: every prediction is accompanied by an estimate of confidence, helping you to fully consider uncertainties
- Chemical space: the applicable chemical space is captured for each model. Molecules outside this space - where confidence in the predictions are lower - are clearly identified
- Integration: StarDrop interfaces with in-house models to supplement or replace StarDrop's optional models. StarDrop models can also be run from from other informatics platforms
StarDrop enables you to predict a broad range of ADME and physicochemical properties prior to synthesis using a suite of high-quality in silico ADME QSAR models.The following properties are available in the StarDrop ADME QSAR model package
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StarDrop also provides a number of whole molecule properties to help guide your compound design
- Molecular weight
- Hydrogen bond donors
- Hydrogen bond acceptors
- Topological polar surface area
- Flexibility
- Rotatable bonds
If you would like to know more about how we built these models, take a look at the FAQs.
