Evidence map›Paper›PMID 40018383›Full record

ArticleIn silico pharmacology2025

Computer-aided drug repurposing & discovery for Hepatitis B capsid protein.

Alireza Mohebbi, Seyed Pooria Tadayon Nabavi, Malihe Naderi, Kimia Sharifian, Farzane Behnezhad, Maryam Mohebbi, Amytis Gholami, Fatemeh Sana Askari, Azam Mirarab, Seyed Hamidreza Monavari

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alireza MohebbiStudent Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Seyed Pooria Tadayon NabaviIslamic Azad University, Damghan Branch, Dāmghān, Iran.
Malihe Naderi *Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Kimia Sharifian *Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Farzane Behnezhad *Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Maryam Mohebbi *Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Amytis Gholami *Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh Sana Askari *Vista Aria Rena Gene, Inc., Gorgan, Golestan Province Iran.
Azam Mirarab *Department of Microbiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Seyed Hamidreza MonavariDepartment of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of this study is to harness computer-aided drug repurposing (CADR) techniques to identify existing FDA-approved drugs that can potentially disrupt the assembly of the Hepatitis B Virus (HBV) core protein (HBcAg), an essential process in the virus's life cycle. By targeting this critical step, our study aims to expand the repertoire of therapeutic options for managing chronic Hepatitis B infection, a major global health challenge. Utilizing a combination of computational methods, including the CavityPlus server for ability to analyze druggable protein cavities and extract pharmacophore features and LigandScout for pharmacophore-based virtual screening of a vast library of FDA-approved drugs was conducted. Molecular dynamic simulation (MDS) was employed to evaluate the stability of HBcAg, complexed with Heteroaryldihydropyrimidine (HAP) and statins exhibiting particularly strong binding energies and conformational compatibility. Our approach focused on identifying pharmacophore features that align with known HBcAg inhibitors. The study identified several promising candidates, including Ciclopirox olamine, Voriconazole, Enasidenib, and statins, demonstrating potential interactions with HBc protein residues. Molecular docking further validated these interactions. The significance of these findings lies in their potential to offer new, effective therapeutic strategies for HBV treatment, particularly as alternatives to current therapies that often suffer from issues of viral resistance and adverse side effects. MDS analysis verified the robustness of HAP and statins by showing a high level of binding energies and compatibility with HBcAg. Our results provide a foundation for further experimental validation and underscore the utility of computer-aided drug repurposing as a rapid, cost-effective approach to drug discovery in antiviral research. This study contributes to our understanding of HBV biology and opens avenues for developing novel anti-HBV therapies based on repurposed drugs. The highlighted compound may also enhance the challenges of drug resistance when used as a combination therapy.

Indexed as

AntiviralCapsid proteinComputer-aided drug repurposingDrug discoveryHepatitis BPharmacophore-based screening

Identifiers

PMID40018383
PMCPMC11861453

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.