Evidence map›Paper›PMID 35631328›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches.

Amer H Asseri, Md Jahidul Alam, Faisal Alzahrani, Ahmed Khames, Mohammad Turhan Pathan, Mohammed A S Abourehab, Salman Hosawi, Rubaiat Ahmed, Sifat Ara Sultana, Nazia Fairooz Alam and 8 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  5. Using the power of artificial intelligence to improve the diagnosis and management of nonmelanoma skin cancer.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Review
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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

18 authors at 9 institutions in 6 countries.

Amer H AsseriBiochemistry Department, Faculty of Science, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia.
Md Jahidul AlamDepartment of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.ORCID 0000-0003-2442-074X
Faisal AlzahraniBiochemistry Department, Faculty of Science, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0003-0441-4000
Ahmed KhamesDepartment of Pharmaceutics and Industrial pharmacy, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID 0000-0001-7917-975X
Mohammad Turhan PathanDepartment of Biochemistry and Microbiology, North South University, Dhaka 1229, Bangladesh.
Mohammed A S AbourehabDepartment of Pharmaceutics, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Saudi Arabia.ORCID 0000-0003-1348-6567
Salman HosawiBiochemistry Department, Faculty of Science, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-0639-1618
Rubaiat AhmedDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0001-6096-0562
Sifat Ara SultanaDepartment of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka 1000, Bangladesh.
Nazia Fairooz AlamDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0001-7908-067X
Nafee-Ul AlamDepartment of Biotechnology, College of Life Science and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0002-2023-9006
Rahat AlamDepartment of Genetic Engineering and Biotechnology, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.ORCID 0000-0001-9415-9386
Abdus SamadDepartment of Genetic Engineering and Biotechnology, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.ORCID 0000-0003-4336-5600
Sushil PokhrelDepartment of Biomedical Engineering, State University of New York (SUNY), Binghamton, NY 13902, USA.ORCID 0000-0002-4910-2644
Jin Kyu KimCollege of Korean Medicine, Kyung Hee University, Kyungheedae-ro 26, Dongdaemun-gu, Seoul 05254, Korea.
Foysal AhammadLaboratory of Computational Biology, Biological Solution Centre (BioSol Centre), Jashore 7408, Bangladesh.ORCID 0000-0001-7313-4729
Bonglee KimCollege of Korean Medicine, Kyung Hee University, Kyungheedae-ro 26, Dongdaemun-gu, Seoul 05254, Korea.ORCID 0000-0002-8678-156X
Shing Cheng TanUKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0002-0328-0023
Kyung Hee University · KRUniversity of Dhaka · BDZhejiang Sci-Tech University · CNBinghamton University · USNoakhali Science and Technology University · BDNorth South University · BDTaif University · SAUmm al-Qura University · SAUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

King Abdulaziz University FP-54-42
6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is a rare form of aggressive skin cancer mainly caused by Merkel cell polyomavirus (MCPyV). Most MCC tumors express MCPyV large T (LT) antigens and play an important role in the growth-promoting activities of oncoproteins. Truncated LT promotes tumorigenicity as well as host cell proliferation by activating the viral replication machinery, and inhibition of this protein in humans drastically lowers cellular growth linked to the corresponding cancer. Our study was designed with the aim of identifying small molecular-like natural antiviral candidates that are able to inhibit the proliferation of malignant tumors, especially those that are aggressive, by blocking the activity of viral LT protein. To identify potential compounds against the target protein, a computational drug design including molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, molecular dynamics (MD) simulation, and molecular mechanics generalized Born surface area (MM-GBSA) approaches were applied in this study. Initially, a total of 2190 phytochemicals isolated from 104 medicinal plants were screened using the molecular docking simulation method, resulting in the identification of the top five compounds having the highest binding energy, ranging between -6.5 and -7.6 kcal/mol. The effectiveness and safety of the selected compounds were evaluated based on ADME and toxicity features. A 250 ns MD simulation confirmed the stability of the selected compounds bind to the active site (AS) of the target protein. Additionally, MM-GBSA analysis was used to determine the high values of binding free energy (ΔG bind) of the compounds binding to the target protein. The five compounds identified by computational approaches, Paulownin (CID: 3084131), Actaealactone (CID: 11537736), Epigallocatechin 3-O-cinnamate (CID: 21629801), Cirsilineol (CID: 162464), and Lycoricidine (CID: 73065), can be used in therapy as lead compounds to combat MCPyV-related cancer. However, further wet laboratory investigations are required to evaluate the activity of the drugs against the virus.

Indexed as

ADMETdrug designMD simulationMerkel cell carcinomasMerkel cell polyomavirusmolecular docking

Identifiers

PMID35631328
PMCPMC9146542
OpenAlexW4224257355

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.