With industry-leading ligand- and structure-based design software, you can quickly generate accurate conformational ensembles, even for complex macrocycles, predict bound ligand poses and binding affinities without requiring protein structural information, and access rapid, robust virtual screening.

Cerella creates new value from your drug discovery data, revealing hidden insights into the best compounds and most valuable experiments for your project. It makes confident predictions, accurately filling in missing values, especially for expensive downstream experiments that can’t be predicted by other methods. This enables you to do more, even with sparse, limited data sets.

With precise metabolite prediction and rich visualisation, Semeta™ gives accurate insights into your compounds’ Phase I and II metabolism. Now, you can make supported decisions on which assays and preclinical experiments to run and how to interpret these, streamlining your DMPK workflows.

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.