Structure-based screening of chemical libraries to identify small molecules that are likely to bind with the SET and RING-associated (SRA) domain of Ubiquitin-like, PHD and Ring Finger–containing 1 (UHRF1)

The dataset contains MS PowerPoint files, MS
Excel Lists, and Maestro Pose Viewer files (Schrodinger's Maestro software).
The dataset compiles the results of a structure-based virtual screening of
chemical libraries with approximately 2.4 million small molecules. The results
identify the predicted top hits that are expected to bind with the SET and
RING-associated (SRA) domain of Ubiquitin-like, PHD and Ring Finger–containing
1 (UHRF1).