Evidence map›Paper›PMID 40240438›Full record

ArticleScientific reports2025

Discovery of novel HBV core protein inhibitors by high throughput virtual screening.

Jahanvi Sanchitra, Abhijit Debnath, Anil Kumar Singh, Abhimanyu Kumar Jha, Rajesh Kumar Singh

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jahanvi SanchitraNoida Institute of Engineering and Technology [Pharmacy Institute], 19 Knowledge Park-II, Institutional Area, Greater Noida, Uttar Pradesh, India.ORCID https://orcid.org/0009-0001-2730-1466
Abhijit DebnathNoida Institute of Engineering and Technology [Pharmacy Institute], 19 Knowledge Park-II, Institutional Area, Greater Noida, Uttar Pradesh, India. abhijitdebnath@outlook.in.ORCID http://orcid.org/0000-0003-1056-1197
Anil Kumar SinghDepartment of Dravyaguna, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India. anilkumar.singh113@gmail.com.ORCID http://orcid.org/0000-0002-9080-463X
Abhimanyu Kumar JhaDepartment of Biotechnology, School of Biosciences and Technology, Galgotias University, Greater Noida, India.ORCID https://orcid.org/0000-0002-6798-2825
Rajesh Kumar SinghDepartment of Dravyaguna, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.ORCID https://orcid.org/0000-0002-0417-0627

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B Virus (HBV) constitutes a chronic viral infection with limited therapeutic options and a significant global health challenge. The virus lifecycle intricacy significantly relies on the core protein crucial for virus structure stability and interaction with host cells thus contributing to the infection's persistence and severity. This study employs advanced techniques for the identification of novel core protein inhibitors through the screening of two chemical databases ZINC and BIMP utilizing computational methods such as structure-based virtual screening, drug-likeness, ADME, toxicity, consensus molecular docking, density functional theory, and 100 ns molecular dynamics simulation. The compound ZINC00674395 possesses high affinity and specificity towards core protein demonstrating drug-like properties, favorable ADME profiles, non-toxicity, and favorable electronic configuration with high stability at the core protein active site thus highlighting its potential as a therapeutic agent. These findings offer new insights into core protein interaction and pave the way for developing effective HBV therapeutics.

Indexed as

Antiviral AgentsDrug DiscoveryHepatitis B virusHigh-Throughput Screening AssaysViral Core ProteinsDrug Evaluation, PreclinicalHumansMolecular Docking SimulationMolecular Dynamics SimulationAntiviral AgentsViral Core ProteinsComputational drug discoveryConsensus molecular DockingHBV capsid assembly inhibitorsMolecular dynamics simulationStructure-based virtual screening

Identifiers

PMID40240438
PMCPMC12003855

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.