Evidence map›Paper›PMID 37764352›Full record

ArticleMolecules (Basel, Switzerland)2023

Identification of Disalicyloyl Curcumin as a Potential DNA Polymerase Inhibitor for Marek's Disease Herpesvirus: A Computational Study Using Virtual Screening and Molecular Dynamics Simulations.

Aziza Cherif, Zarrin Basharat, Muhammad Yaseen, Mashooq Ahmad Bhat, Imad Uddin, Noha I Ziedan, Fazal Mabood, Najla Sadfi-Zouaoui, Abdelmonaem Messaoudi

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

9 authors at 4 institutions in 4 countries.

Aziza CherifLaboratoire de Mycologie, Pathologies et Biomarqueurs (LR16ES05), Département de Biologie, Université de Tunis-El Manar, Tunis 2092, Tunisia.
Zarrin BasharatAlpha Genomics Private Limited, Islamabad 45710, Pakistan.ORCID 0000-0003-1785-3803
Muhammad YaseenInstitute of Chemical Sciences, University of Swat, Swat 19130, Pakistan.ORCID 0000-0002-2259-4589
Mashooq Ahmad BhatDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-8426-4692
Imad UddinInstitute of Chemical Sciences, University of Swat, Swat 19130, Pakistan.
Noha I ZiedanDepartment of Physical Mathematical and Engineering Science, University of Chester, Chester CH2 4NU, UK.
Fazal MaboodInstitute of Chemical Sciences, University of Swat, Swat 19130, Pakistan.
Najla Sadfi-ZouaouiLaboratoire de Mycologie, Pathologies et Biomarqueurs (LR16ES05), Département de Biologie, Université de Tunis-El Manar, Tunis 2092, Tunisia.ORCID 0000-0003-1596-6898
Abdelmonaem MessaoudiLaboratoire de Mycologie, Pathologies et Biomarqueurs (LR16ES05), Département de Biologie, Université de Tunis-El Manar, Tunis 2092, Tunisia.
Tunis University · TNUniversity of Swat · PKKing Saud University · SAUniversity of Chester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marek's disease virus (MDV) is a highly contagious and persistent virus that causes T-lymphoma in chickens, posing a significant threat to the poultry industry despite the availability of vaccines. The emergence of new virulent strains has further intensified the challenge of designing effective antiviral drugs for MDV. In this study, our main objective was to identify novel antiviral phytochemicals through in silico analysis. We employed Alphafold to construct a three-dimensional (3D) structure of the MDV DNA polymerase, a crucial enzyme involved in viral replication. To ensure the accuracy of the structural model, we validated it using tools available at the SAVES server. Subsequently, a diverse dataset containing thousands of compounds, primarily derived from plant sources, was subjected to molecular docking with the MDV DNA polymerase model, utilizing AutoDock software V 4.2. Through comprehensive analysis of the docking results, we identified Disalicyloyl curcumin as a promising drug candidate that exhibited remarkable binding affinity, with a minimum energy of -12.66 Kcal/mol, specifically targeting the DNA polymerase enzyme. To further assess its potential, we performed molecular dynamics simulations, which confirmed the stability of Disalicyloyl curcumin within the MDV system. Experimental validation of its inhibitory activity in vitro can provide substantial support for its effectiveness. The outcomes of our study hold significant implications for the poultry industry, as the discovery of efficient antiviral phytochemicals against MDV could substantially mitigate the economic losses associated with this devastating disease.

Indexed as

Antiviral AgentsCurcuminDNA-Directed DNA PolymeraseEnzyme InhibitorsHerpesvirus 2, GallidAnimalsChickensMarek DiseaseMolecular Docking SimulationMolecular Dynamics SimulationAntiviral AgentsCurcuminDNA-Directed DNA PolymeraseEnzyme InhibitorsMarek’s diseaseMDV DNA polymerasemolecular docking

Identifiers

PMID37764352
PMCPMC10537106
OpenAlexW4386687983

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.