To guide drug design, it’s important to understand the likely ADME and physicochemical properties of your compounds at an early stage. Predictive modelling is key. But what exactly should you be modelling, and how should you be modelling it? How can you be confident in the accuracy of your results? And what goes into making a really good QSAR or QSPR model?

Join Tamsin Mansley, PhD and Mario Oeren, PhD, in our next webinar, 18th February, as they explore the art of predictive modelling for drug discovery. They’ll cover:

  • Key ADME properties to predict with in silico models
  • The four pillars of quality model building
  • How to build and validate robust QSAR models tailored to your data, with a live demo of StarDrop’s Auto-Modeller software
  • The answers to your burning questions, in an interactive Q&A session
Complete the form to register

Tuesday 18th February

8am PST | 11am EST | 4pm GMT | 5pm CET