Evidence map›Paper›PMID 37313340›Full record

ArticleFrontiers in cellular and infection microbiology2023

Computer-assisted drug repurposing for thymidylate kinase drug target in monkeypox virus.

Amar Ajmal, Arif Mahmood, Chandni Hayat, Mohammed Ageeli Hakami, Bader S Alotaibi, Muhammad Umair, Ashraf N Abdalla, Ping Li, Pei He, Abdul Wadood and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  12. Heliyon · 2024
    Article
  13. Mpox (formerly monkeypox): pathogenesis, prevention, and treatment.Signal transduction and targeted therapy · 2023
    Review
  14. 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

11 authors at 7 institutions in 3 countries.

Amar AjmalDepartment of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan.
Arif MahmoodCenter for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Chandni HayatDepartment of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan.
Mohammed Ageeli HakamiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia.
Bader S AlotaibiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia.
Muhammad UmairDepartment of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Ashraf N AbdallaDepartment of Pharmacology and Toxicology, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia.
Ping LiInstitute of Biomedical Sciences, Shanxi University, Taiyuan, China.
Pei HeDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Abdul WadoodDepartment of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan.
Junjian HuDepartment of Central Laboratory, SSL Central Hospital of Dongguan City, Affiliated Dongguan Shilong People's Hospital of Southern Medical University, Dongguan, China.
Abdul Wali Khan University Mardan · PKShaqra University · SASouthern Medical University · CNCentral South University · CNShanxi University · CNUmm al-Qura University · SAUniversity of Management and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Monkeypox is a zoonotic disease caused by brick-shaped enveloped monkeypox (Mpox) virus that belongs to the family of ancient viruses known as Poxviridae. Subsequently, the viruses have been reported in various countries. The virus is transmitted by respiratory droplets, skin lesions, and infected body fluids. The infected patients experience fluid-filled blisters, maculopapular rash, myalgia, and fever. Due to the lack of effective drugs or vaccines, there is a need to identify the most potent and effective drugs to reduce the spread of monkeypox. The current study aimed to use computational methods to quickly identify potentially effective drugs against the Mpox virus. Methods: In our study, the Mpox protein thymidylate kinase (A48R) was targeted because it is a unique drug target. We screened a library of 9000 FDA-approved compounds of the DrugBank database by using various in silico approaches, such as molecular docking and molecular dynamic (MD) simulation. Results: Based on docking score and interaction analysis, compounds DB12380, DB13276, DB13276, DB11740, DB14675, DB11978, DB08526, DB06573, DB15796, DB08223, DB11736, DB16250, and DB16335 were predicted as the most potent. To examine the dynamic behavior and stability of the docked complexes, three compounds-DB16335, DB15796, and DB16250 -along with the Apo state were simulated for 300ns. The results revealed that compound DB16335 revealed the best docking score (-9.57 kcal/mol) against the Mpox protein thymidylate kinase. Discussion: Additionally, during the 300 ns MD simulation period, thymidylate kinase DB16335 showed great stability. Further,

Indexed as

Monkeypox virusMpox, MonkeypoxComputersDrug RepositioningHumansMolecular Docking SimulationNucleoside-Phosphate KinasedTMP kinaseNucleoside-Phosphate Kinasedrugs developmenthomology modelingMD simulationmolecular dockingmonkeypox

Identifiers

PMID37313340
PMCPMC10258308
OpenAlexW4378716771

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.