Evidence map›Paper›PMID 37925643›Full record

ArticleMolecular diversity2024

Exploration of phytochemical compounds against Marburg virus using QSAR, molecular dynamics, and free energy landscape.

Ali A Rabaan, Muhammad A Halwani, Mohammed Garout, Jawaher Alotaibi, Bashayer M AlShehail, Nouf Alotaibi, Souad A Almuthree, Ahmad A Alshehri, Mohammed Abdulrahman Alshahrani, Basim Othman and 2 more

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Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

12 authors.

Ali A RabaanMolecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, 31311, Dhahran, Saudi Arabia. arabaan@gmail.com.
Muhammad A HalwaniDepartment of Medical Microbiology, Faculty of Medicine, Al Baha University, 4781, Al Baha, Saudi Arabia.
Mohammed GaroutDepartment of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Jawaher AlotaibiInfectious diseases Unit, Department of Medicine, King Faisal Specialist Hospital and Research Center, 11564, Riyadh, Saudi Arabia.
Bashayer M AlShehailPharmacy Practice Department, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, 31441, Dammam, Saudi Arabia.
Nouf AlotaibiClinical pharmacy Department, College of Pharmacy, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Souad A AlmuthreeDepartment of Infectious Disease, King Abdullah Medical City, 43442, Makkah, Saudi Arabia.
Ahmad A AlshehriDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, 61441, Najran, Saudi Arabia.
Mohammed Abdulrahman AlshahraniDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, 61441, Najran, Saudi Arabia.
Basim OthmanDepartment of Public Health, Faculty of Applied Medical Sciences, Al Baha University, 65779, Al Baha, Saudi Arabia.
Abdulaziz AlqahtaniClinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, 61321, Abha, Saudi Arabia.
Mohammed AlissaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia. M.alissa@psau.edu.sa.

Funding

Prince Sattam bin Abdulaziz University PSAU/2023/R/1445
6 · The paper itself

Abstract

Marburg virus disease (MVD) is caused by the Marburg virus, a one-of-a-kind zoonotic RNA virus from the genus Filovirus. Thus, this current study employed AI-based QSAR and molecular docking-based virtual screening for identifying potential binders against the target protein (nucleoprotein (NP)) of the Marburg virus. A total of 2727 phytochemicals were used for screening, out of which the top three compounds (74977521, 90470472, and 11953909) were identified based on their predicted bioactivity (pIC50) and binding score (< - 7.4 kcal/mol). Later, MD simulation in triplicates and trajectory analysis were performed which showed that 11953909 and 74977521 had the most stable and consistent complex formations and had the most significant interactions with the highest number of hydrogen bonds. PCA (principal component analysis) and FEL (free energy landscape) analysis indicated that these compounds had favourable energy states for most of the conformations. The total binding free energy of the compounds using the MM/GBSA technique showed that 11953909 (ΔG

Indexed as

Antiviral AgentsMarburgvirusMolecular Docking SimulationMolecular Dynamics SimulationPhytochemicalsQuantitative Structure-Activity RelationshipHydrogen BondingProtein BindingThermodynamicsAntiviral AgentsPhytochemicalsFree energy landscapeMarburg virusMolecular dynamicsNucleoproteinPhytochemicals

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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.