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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)

dataset
posted on 2020-04-06, 22:55 authored by Debasis Patnaik

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).


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