ArticlePloS one2023
A fragment-based drug discovery developed on ciclopirox for inhibition of Hepatitis B virus core protein: An in silico study.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Discovery of novel HBV core protein inhibitors by high throughput virtual screening.Scientific reports · 2025Article
- Computer-aided drug repurposing & discovery for Hepatitis B capsid protein.In silico pharmacology · 2025Article
- Redondovirius-associated periodontitis in people with poor oral hygiene: a cross-sectional study.Frontiers in oral health · 2025Article
- Article
- Current status and challenges of therapeutic targets, novel drugs and delivery systems for hepatitis B: how far to our goal?Frontiers in cellular and infection microbiology · 2025Review
- Dental complications as a potential indicator of Redondovirus infection: a cross-sectional study.BMC infectious diseases · 2024Article
- HBCVTr: an end-to-end transformer with a deep neural network hybrid model for anti-HBV and HCV activity predictor from SMILES.Scientific reports · 2024Article
- An overview of anti-Hepatitis B virus flavonoids and their mechanisms of action.Frontiers in cellular and infection microbiology · 2024Review
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Hepatitis B virus (HBV) core protein is an attractive target for preventing capsid assembly and viral replication. Drug repurposing strategies have introduced several drugs targeting HBV core protein. This study used a fragment-based drug discovery (FBDD) approach to reconstruct a repurposed core protein inhibitor to some novel antiviral derivatives. Auto Core Fragment in silico Screening (ACFIS) server was used for deconstruction-reconstruction of Ciclopirox in complex with HBV core protein. The Ciclopirox derivatives were ranked based on their free energy of binding (ΔGB). A quantitative structure affinity relationship (QSAR) was established on the Ciclopirox derivatives. The model was validated by a Ciclopirox-property-matched decoy set. A principal component analysis (PCA) was also assessed to define the relationship of the predictive variable of the QSAR model. 24-derivatives with a ΔGB (-16.56±1.46 Kcal.mol-1) more than Ciclopirox was highlighted. A QSAR model with a predictive power of 88.99% (F-statistics = 9025.78, corrected df(25), Pr > F = 0.0001) was developed by four predictive descriptors (ATS1p, nCs, Hy, F08[C-C]). The model validation showed no predictive power for the decoy set (Q2 = 0). No significant correlation was observed between predictors. By directly attaching to the core protein carboxyl-terminal domain, Ciclopirox derivatives may be able to suppress HBV virus assembly and subsequent viral replication inhibition. Hydrophobic residue Phe23 is a critical amino acid in the ligand binding domain. These ligands share the same physicochemical properties that lead to the development of a robust QSAR mode. The same strategy may also be used for future drug discovery of viral inhibitors.
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Registered trials
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