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PLATE-VS: a web server for protein-ligand assay curation and cross-target virtual screening datasets
Ao Xu1, Yongchan Hong2, Jordy Homing Lam2
1Department of Computer Science, University of Southern California, Los Angeles, 90089,United States.
None:
PLATE-VS (Protein-Ligand Affinity-based Target Evaluation-Virtual Screening, https://www.drugbench.org/) is a free, openly accessible web server that integrates protein structural information, ligand activity data, and property-matched decoys to produce training-ready datasets for virtual screening and molecular machine learning. Unlike structure-only or assay-only resources, PLATE-VS addresses the bottleneck in obtaining clean protein-ligand datasets with principled train/test splits, spanning a range of difficulty, from those allowing higher levels of similarity with known ligand-receptor pairs to more challenging cross-target generalization. The server enables queries and inspection of data in various formats, returning interactive assay summaries with harmonized activities, curated metadata, a stratified panel of protein-ligand complexes, and downloadable split tables. These data and the associated Application Programming Interface can be used to facilitate the study of binding activity relationships in protein-ligand interactions.
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