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- W2955766037 abstract "In this study, we report a ligand-guided homology modeling approach allowing the analysis of relevant binding site residue conformations and the identification of two novel histamine H3 receptor ligands with binding affinity in the nanomolar range. The newly developed method is based on exploiting an essential charge interaction characteristic for aminergic G-protein coupled receptors for ranking 3D receptor models appropriate for the discovery of novel compounds through virtual screening." @default.
- W2955766037 created "2019-07-12" @default.
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- W2955766037 date "2019-06-25" @default.
- W2955766037 modified "2023-10-13" @default.
- W2955766037 title "Ligand-guided homology modeling drives identification of novel histamine H3 receptor ligands" @default.
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- W2955766037 doi "https://doi.org/10.1371/journal.pone.0218820" @default.
- W2955766037 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6592549" @default.
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