School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St., Houston, Texas 77030, USA.
J Chem Inf Model. 2012 Jan 23;52(1):1-6. doi: 10.1021/ci200412p. Epub 2011 Dec 14.
We compiled a G protein-coupled receptor (GPCR) ligand library (GLL) for 147 targets, selecting for each ligand 39 decoy molecules, collected in the GPCR Decoy Database (GDD). Decoys were chosen ensuring a ligand-decoy similarity of six physical properties, while enforcing ligand-decoy chemical dissimilarity. The performance in docking of the GDD was evaluated on 19 GPCRs, showing a marked decrease in enrichment compared to bias-uncorrected decoy sets. Both the GLL and GDD are freely available for the scientific community.
我们为 147 个靶点编译了一个 G 蛋白偶联受体 (GPCR) 配体库 (GLL),为每个配体选择了 39 个诱饵分子,这些诱饵分子都收集在 GPCR 诱饵数据库 (GDD) 中。选择诱饵分子时,我们确保了 6 种物理性质的配体-诱饵相似性,同时又保证了配体-诱饵的化学差异性。我们在 19 个 GPCR 上评估了 GDD 的对接性能,与未校正偏差的诱饵集相比,其富集度明显降低。GLL 和 GDD 都可供科学界免费使用。