Predict biological activities with data you can trust
AurPASS® (Aureus Prediction of Activity Spectra of Substances) is a software tool which exploits high quality experimental SAR data to generate in silico biological activity profiles of new substances. It uses PASS probabilistic ligand-based methodology. PASS prediction is based on the analysis of structure-activity relationships of specific training sets, updated on a regular basis, including a great number of compounds with different biological activities.
AurPASS® is a ready-to-use software tool running with several SAR bases extracted from the Aureus knowledge bases. These include GPCR, Kinase, Ion Channel, Nuclear Receptor, Protease, and hERG. Aureus specialists extract the SAR cases continuously and finetune them with the PASS algorithms to provide the highest quality predictions.
AurPASS® is the result of the combined experience of ten years of high quality structure-activity data development by Aureus and twenty years of PASS system development by Vladimir Poroikov, Dmitry Filimonov and Associates. The combination of first-in-class systems and high level expertise provides robust computer-assisted estimates with more than 90% accuracy.
AurPASS Results:
