First look: Guide your compound design strategy with new visual, industry-leading affinity predictions 

Date: 16 Apr 2026 (Thursday)
Time: 4pm GMT | 12pm EDT | 9am PDT | 6pm CEST

Accurate predictions of binding affinity are the holy grail of early-phase discovery, enabling teams to significantly reduce the synthesis and testing burden in lead optimisation. However, understanding why and how a molecule binds (or won’t bind) is equally as important for shaping successful design strategies.

For the first time, teams can access industry-leading affinity predictions alongside clear, visual insights into the molecular interactions driving potency, all without the need for a protein structure.

In this webinar, you’ll be the first to see the new QuanSA™ PyMOL GUI in action. QuanSA achieves accuracy equivalent to leading simulation-based methods such as FEP, at a fraction of the computational cost, through its physics-informed machine learning approach that explicitly models the factors governing molecular recognition and binding.

Through the new PyMOL GUI, you can now access QuanSA’s predictions in a highly visual, intuitive environment, seeing not just an affinity score, but the key molecular interactions driving it, so you can make confident, informed decisions to optimise the potency of your molecules.

Join Himani Tandon, PhD, and Kyle Kroeck, PhD, for a live demonstration of the new interface and how it supports real lead optimisation scenarios.