Evidence map›Paper›PMID 38849372›Full record

ArticleScientific reports2024

In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections.

Amar Ajmal, Muhammad Shahab, Muhammad Waqas, Guojun Zheng, Maryam Zulfat, Yousef A Bin Jardan, Gezahign Fentahun Wondmie, Mohammed Bourhia, Ijaz Ali

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Amar Ajmal *Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Muhammad Shahab *Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Muhammad WaqasNatural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, 616, Nizwa, Oman.
Guojun ZhengState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China. zhenggj@mail.buct.edu.cn.
Maryam ZulfatDepartment of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia.
Gezahign Fentahun WondmieDepartment of Biology, Bahir Dar University, P.O.Box 79, Bahir Dar, Ethiopia. resercherfent@gmail.com.
Mohammed BourhiaDepartment of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, 70000, Laayoune, Morocco.
Ijaz AliCentre for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Hawally, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus is a single positive-strand RNA virus that is composed of three structural proteins including capsid, envelope, and precursor membrane while seven non-structural proteins (NS1, NS2A, NS2B, NS3A, NS3B, NS4, and NS5). Dengue is a viral infection caused by the dengue virus (DENV). DENV infections are asymptomatic or produce only mild illness. However, DENV can occasionally cause more severe cases and even death. There is no specific treatment for dengue virus infections. Therapeutic peptides have several important advantages over proteins or antibodies: they are small in size, easy to synthesize, and have the ability to penetrate the cell membranes. They also have high activity, specificity, affinity, and less toxicity. Based on the known peptide inhibitor, the current study designs peptide inhibitors for dengue virus envelope protein using an alanine and residue scanning technique. By replacing I21 with Q21, L14 with H14, and V28 with K28, the binding affinity of the peptide inhibitors was increased. The newly designed peptide inhibitors with single residue mutation improved the binding affinity of the peptide inhibitors. The inhibitory capability of the new promising peptide inhibitors was further confirmed by the utilization of MD simulation and free binding energy calculations. The molecular dynamics simulation demonstrated that the newly engineered peptide inhibitors exhibited greater stability compared to the wild-type peptide inhibitors. According to the binding free energies MM(GB)SA of these developed peptides, the first peptide inhibitor was the most effective against the dengue virus envelope protein. All peptide derivatives had higher binding affinities for the envelope protein and have the potential to treat dengue virus-associated infections. In this study, new peptide inhibitors were developed for the dengue virus envelope protein based on the already reported peptide inhibitor.

Indexed as

Antiviral AgentsDengueDengue VirusPeptidesComputer SimulationDrug DesignHumansMolecular Dynamics SimulationProtein BindingViral Envelope ProteinsAntiviral AgentsPeptidesViral Envelope ProteinsBinding energy calculationMD simulationPeptide inhibitorsResidue scanning

Identifiers

PMID38849372
PMCPMC11161489

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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.