Optibrium Adds QuanSA PyMOL Plugin For Affinity Predictions

Optibrium on March 25, 2026 announced a QuanSA plugin for PyMOL that provides a graphical user interface for ligand-based binding affinity prediction as part of its BioPharmics 3D modelling platform, enabling chemists to visualize interactions and guide lead optimization. The company states QuanSA's physics‑motivated machine learning yields affinity accuracy comparable to free energy perturbation (FEP) at a fraction of the computational cost and without requiring protein structures.
Scoring Rationale
High practical impact and official release, limited novelty because QuanSA previously existed as command-line tool.
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