Evidence map›Paper›PMID 38684729›Full record

ArticleScientific reports2024

Ligand-based drug design against Herpes Simplex Virus-1 capsid protein by modification of limonene through in silico approaches.

Md Rezaul Islam, Md Shafiqul Islam Sovon, Ummy Amena, Miadur Rahman, Md Eram Hosen, Ajoy Kumer, Mohammed Bourhia, Yousef A Bin Jardan, Samir Ibenmoussa, Gezahign Fentahun Wondmie

Erratum issuedOpen access · goldAbstract 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. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 10 institutions in 6 countries.

Md Rezaul IslamDepartment of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh, 1207.
Md Shafiqul Islam SovonDepartment of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka, 1000, Bangladesh.
Ummy AmenaDepartment of Pharmacy, Faculty of Life & Earth Sciences, Jagannath University, Dhaka, Bangladesh.
Miadur RahmanDepartment of Pharmaceutical Sciences, North South University, Dhaka, 1219, Bangladesh.
Md Eram HosenDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Ajoy KumerDepartment of Chemistry, College of Arts and Sciences, International University of Business Agriculture and Technology (IUBAT), Dhaka, 1216, Bangladesh.
Mohammed BourhiaLaboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, 80060, Agadir, Morocco. bourhiamohammed@gmail.com.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia.
Samir IbenmoussaLaboratory of Therapeutic and Organic Chemistry, Faculty of Pharmacy, University of Montpellier, 34000, Montpellier, France.
Gezahign Fentahun WondmieDepartment of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. resercherfent@gmail.com.
Bahir Dar University · ETDaffodil International University · BDInternational University of Business Agriculture and Technology · BDJagannath University · BDKing Saud University · SANorth South University · BDUniversité de Montpellier · FRUniversité Ibn Zohr · MAUniversity of Dhaka · BDUniversity of Rajshahi · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacological effects of limonene, especially their derivatives, are currently at the forefront of research for drug development and discovery as well and structure-based drug design using huge chemical libraries are already widespread in the early stages of therapeutic and drug development. Here, various limonene derivatives are studied computationally for their potential utilization against the capsid protein of Herpes Simplex Virus-1. Firstly, limonene derivatives were designed by structural modification followed by conducting a molecular docking experiment against the capsid protein of Herpes Simplex Virus-1. In this research, the obtained molecular docking score exhibited better efficiency against the capsid protein of Herpes Simplex Virus-1 and hence we conducted further in silico investigation including molecular dynamic simulation, quantum calculation, and ADMET analysis. Molecular docking experiment has documented that Ligands 02 and 03 had much better binding affinities (- 7.4 kcal/mol and - 7.1 kcal/mol) to capsid protein of Herpes Simplex Virus-1 than Standard Acyclovir (- 6.5 kcal/mol). Upon further investigation, the binding affinities of primary limonene were observed to be slightly poor. But including the various functional groups also increases the affinities and capacity to prevent viral infection of the capsid protein of Herpes Simplex Virus-1. Then, the molecular dynamic simulation confirmed that the mentioned ligands might be stable during the formation of drug-protein complexes. Finally, the analysis of ADMET was essential in establishing them as safe and human-useable prospective chemicals. According to the present findings, limonene derivatives might be a promising candidate against the capsid protein of Herpes Simplex Virus-1 which ultimately inhibits Herpes Simplex Virus-induced encephalitis that causes interventions in brain inflammation. Our findings suggested further experimental screening to determine their practical value and utility.

Indexed as

Antiviral AgentsCapsid ProteinsDrug DesignHerpesvirus 1, HumanLimoneneMolecular Docking SimulationMolecular Dynamics SimulationComputer SimulationHumansLigandsProtein BindingAntiviral AgentsCapsid ProteinsLigandsLimoneneADMETDFTHerpes Simplex Virus-1Molecular dockingMolecular dynamics simulation

Identifiers

PMID38684729
PMCPMC11058824
OpenAlexW4396535228

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Registered trials

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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.