SYBYL-X 2.1.1 is now available, the focus of this release is to extend the capabilities available via the standalone PYTHON interface to 3D-QSAR, which was introduced in SYBYL-X 2.1 earlier this year. The PYTHON API allows 3D-QSAR models (CoMFA, CoMSIA, and Topomer CoMFA) to be created and used for predictions outside of SYBYL-X.

1. Hologram QSAR (HQSAR) is a now available via Python.  HQSAR has been successfully applied to generate predictive global QSAR models for on- and off-target effects and models for important ADME related properties; the HQSAR method employs 2D-substructural counts as descriptors.

2. Similarity computations and similarity searches (UNITY 2D fingerprints) are now accessible via Python to support various workflows, such as lead expansion, lead hopping, and cluster analysis.