Identification of Novel HBV/HDV Entry Inhibitors by Pharmacophore- and QSAR-Guided Virtual Screening

The hepatic bile acid transporter Na⁺/taurocholate co-transporting polypeptide (NTCP) was identified in 2012 as the high-affinity hepatic receptor for the hepatitis B and D viruses (HBV/HDV). Since then, this carrier has emerged as promising drug target for HBV/HDV virus entry inhibitors, but the synthetic peptide Hepcludex^® of high molecular weight is the only approved HDV entry inhibitor so far. The present study aimed to identify small molecules as novel NTCP inhibitors with anti-viral activity. A ligand-based bioinformatic approach was used to generate and validate appropriate pharmacophore and QSAR (quantitative structure–activity relationship) models. Half-maximal inhibitory concentrations (IC₅₀) for binding inhibition of the HBV/HDV-derived preS1 peptide (as surrogate parameter for virus binding to NTCP) were determined in NTCP-expressing HEK293 cells for 150 compounds of different chemical classes. IC₅₀ values ranged from 2 µM up to >1000 µM. The generated pharmacophore and QSAR models were used for virtual screening of drug-like chemicals from the ZINC¹⁵ database (~11 million compounds). The 20 best-performing compounds were then experimentally tested for preS1-peptide binding inhibition in NTCP-HEK293 cells. Among them, four compounds were active and revealed experimental IC₅₀ values for preS1-peptide binding inhibition of 9, 19, 20, and 35 µM, which were comparable to the QSAR-based predictions. All these compounds also significantly inhibited in vitro HDV infection of NTCP-HepG2 cells, without showing any cytotoxicity. The best-performing compound in all assays was ZINC000253533654. In conclusion, the present study demonstrates that virtual compound screening based on NTCP-specific pharmacophore and QSAR models can predict novel active hit compounds for the development of HBV/HDV entry inhibitors.     

A three-dimensional pharmacophore model for IMPDH inhibitors

Inosine 5'-monophosphate dehydrogenase (IMPDH) is a key enzyme in the de novo synthesis of guanosine nucleotides. It is considered an important target in the quest for drugs in the immunosuppressive, antiviral, antibacterial and anticancer therapeutic areas. In this study, a chemical feature-based pharmacophore model of IMPDH inhibitors has been firstly developed with the aid of the HypoRefine protocol within Discovery Studio 2.5. The best model for IMPDH inhibitors, Hypo1-1, was characterized by the best correlation coefficient (0.97595) and the lowest RMSD (0.582058). It consisted of one hydrogen-bond donor, one hydrogen-bond acceptor, one aromatic ring and one hydrophobic feature, as well as two excluded volumes. The model was validated using a wide range of test molecules and a cross-validation. Furthermore, the pharmacophore features were confirmed by molecular docking studies. The pharmacophore model could quantitatively predict inhibitor activity and identify highly potent molecules. Therefore, the present results could be valuable for the discovery and development of specific IMPDH inhibitors.     

3D Pharmacophore Model-Assisted Discovery of Novel CDC7 Inhibitors

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Pharmacokinetics and Excretion Studies on CDRI-85/92, an Antiulcer Proton Pump Inhibitor

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中药有效成分族群辨识研究概况

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基于醛固酮拮抗活性和专利检索的降压中药组方设计

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中草药中天然黄嘌呤氧化酶抑制剂的虚拟筛选

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