Скачать или смотреть How to build a better QSAR model

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, 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