Evidence map›Paper›PMID 39599481›Full record

ArticlePathogens (Basel, Switzerland)2024

An In Silico Approach to Discover Efficient Natural Inhibitors to Tie Up Epstein-Barr Virus Infection.

Ayan Das, Mumtaza Mumu, Tanjilur Rahman, Md Abu Sayeed, Md Mazharul Islam, John I Alawneh, Mohammad Mahmudul Hassan

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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

7 authors.

Ayan DasDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chattogram 4331, Bangladesh.ORCID 0000-0003-4264-1271
Mumtaza MumuDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chattogram 4331, Bangladesh.
Tanjilur RahmanDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chattogram 4331, Bangladesh.ORCID 0000-0003-4594-100X
Md Abu SayeedNational Centre for Epidemiology and Population Health (NCEPH), College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia.ORCID 0000-0002-6626-4178
Md Mazharul IslamDepartment of Animal Resources, Ministry of Municipality, Doha P.O. Box 35081, Qatar.ORCID 0000-0002-7357-9645
John I AlawnehPlant Biosecurity and Product Integrity, Biosecurity Queensland, Department of Agriculture and Fisheries, Brisbane, QLD 4000, Australia.
Mohammad Mahmudul HassanSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0001-6495-4637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV), also known as human herpesvirus 4, is a member of the herpes virus family. EBV is a widespread virus and causes infectious mononucleosis, which manifests with symptoms such as fever, fatigue, lymphadenopathy, splenomegaly, and hepatomegaly. Additionally, EBV is associated with different lymphocyte-associated non-malignant, premalignant, and malignant diseases. So far, no effective treatment or therapeutic drug is known for EBV-induced infections and diseases. This study investigated natural compounds that inhibit EBV glycoprotein L (gL) and block EBV fusion in host cells. We utilised computational approaches, including molecular docking, in silico ADMET analysis, and molecular dynamics simulation. We docked 628 natural compounds against gL and identified the four best compounds based on binding scores and pharmacokinetic properties. These four compounds, with PubChem CIDs 4835509 (CHx-HHPD-Ac), 2870247 (Cyh-GlcNAc), 21206004 (Hep-HHPD-Ac), and 51066638 (Und-GlcNAc), showed several interactions with EBV gL. However, molecular dynamics simulations indicated that the protein-ligand complexes of CID: 4835509 (CHx-HHPD-Ac) and CID: 2870247 (Cyh-GlcNAc) are more stable than those of the other two compounds. Therefore, CIDs 4835509 and 2870247 (Cyh-GlcNAc) may be potent natural inhibitors of EBV infection. These findings can open a new way for effective drug design against EBV and its associated infections and diseases.

Indexed as

Antiviral AgentsEpstein-Barr Virus InfectionsHerpesvirus 4, HumanMolecular Docking SimulationMolecular Dynamics SimulationBiological ProductsComputer SimulationHumansAntiviral AgentsBiological ProductsEpstein–Barr virusglycoprotein Lin silico screeningMD simulationmolecular docking

Identifiers

PMID39599481
PMCPMC11597430

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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.