2012
DOI: 10.1074/jbc.m112.388157
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High Selectivity of the γ-Aminobutyric Acid Transporter 2 (GAT-2, SLC6A13) Revealed by Structure-based Approach

Abstract: Background: GAT-2 is physiologically and pharmacologically important for regulating peripheral GABAergic mechanisms. Results: We identify GAT-2 ligands, including drugs, metabolites, and fragments, using comparative modeling, virtual screening, and experiments. Conclusion: GAT-2 is a high selectivity/low affinity transporter that is resistant to inhibition by typical GABAergic inhibitors. Significance: Our results explain pharmacological and physiological effects of GAT-2 ligands and identify specificity deter… Show more

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Cited by 45 publications
(41 citation statements)
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“…The low specificity is not surprising because the docking pipeline was executed in a fully automated fashion; in contrast, typical structure-based virtual screening involves manual postdocking selection of ligand poses. 22,23,26 We examined compounds predicted to be OCT1 ligands by the comparative model but not identified as inhibitors by HTS. In view of the published literature, we identified 13 previously reported substrates and five inhibitors of OCT1.…”
Section: ■ Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The low specificity is not surprising because the docking pipeline was executed in a fully automated fashion; in contrast, typical structure-based virtual screening involves manual postdocking selection of ligand poses. 22,23,26 We examined compounds predicted to be OCT1 ligands by the comparative model but not identified as inhibitors by HTS. In view of the published literature, we identified 13 previously reported substrates and five inhibitors of OCT1.…”
Section: ■ Resultsmentioning
confidence: 99%
“…We also performed an enrichment analysis of docked substrates and decoys and computed a logAUC metric of 22.94, which suggests docking accuracy comparable to that in previously reported virtual screening experiments for human SLC transporters. 22,23 Second, we analyzed favorable docking poses to determine the frequency of predicted hydrogen bonds between binding site residues and substrate molecules. Thirteen residues in TMHs 4, 10, and 11 formed hydrogen bonds with substrate molecules ( Figure 1A).…”
Section: ■ Resultsmentioning
confidence: 99%
“…Importantly, some of these newly determined structures represent different protein conformations, allowing in silico screens of small molecules against comparative models of different conformations to suggest chemically distinct ligands. For example, a structure-based approach predicted that molecules binding to a model for the outward-facing conformation of the GABA transporter 2 were chemically distinct from those predicted to bind an occluded model (44). Thus, as more structures of LAT-1 homologs are discovered, our results can be refined to identify novel LAT-1 ligands for effective therapy and the study of CNS diseases and cancer.…”
Section: Targeting Biological Systems Using a Combined Structural Phamentioning
confidence: 99%
“…In particular, we used GROMACS4 molecular dynamics code as described previously (26). The model was subjected to 10,000 steps of conjugate gradient minimization under the Amber99SB-ILDN force field (27,28).…”
Section: Methodsmentioning
confidence: 99%
“…Molecular Docking-Docking of NaDC3 substrates was performed with DOCK 3.5.54 (30,26), which calculates scores of docking poses with van der Waals, Poisson-Boltzmann electrostatic, and substrate desolvation penalty terms. The transporter model with refined side chains was prepared by removing all non-protein atoms except for the sodium ion.…”
Section: Methodsmentioning
confidence: 99%