Extracting Efficient Dataset for Molecular Modeling from Aureus Global Pharmacology Space

To build a good predictive model, modelers need to access datasets as big as possible, combining chemical diversity and precise biological activity annotations –hopefully determined in similar experimental conditions-. Updating the datasets according to the progression of the knowledge in the field is a key to guaranty the accuracy of the predictions. In this web seminar you will discover how you can use the unique datastructure of the Aureus pharmacological space knowledgedatabase to extract high quality datasets for predictive modeling.