First look: Guide your compound design strategy with new visual, industry-leading affinity predictions
Accurate predictions of binding affinity are the holy grail of early-phase discovery, enabling teams to significantly reduce the synthesis and…
Virtual screening presents a host of challenges, especially where little or no structural information on targets is available. So how can we best set our screening strategies up for success?
Watch this webinar hosted by Matthew Segall and Peter Hunt to learn how StarDrop applies different methods to enable successful virtual screening. We demonstrate:
- Single versus multi-ligand hypotheses for searching
- Speedy versus exhaustive searching – what’s the best balance?
- Are inactives useful in virtual screening?
- Judging the success of a virtual screen
- Combinations and consensus between methods as an option for diversity
- It’s not all about activity – the importance of finding high-quality starting points
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StarDrop 8 Is Here: Pioneering Collaboration in Drug Discovery
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Building better QSAR models: A new framework for consistent performance across diverse prediction tasks
Accurate QSAR models lead to more efficient and cost-effective molecular discovery. Better predictions enable you to prioritise the optimal compounds…
