Evidence map›Paper›PMID 37578620›Full record

ArticleMolecular diversity2024

Identification of natural potent inhibitors against Mycobacterium tuberculosis isocitrate lyase: an in silico study.

Ali A Rabaan, Muhammad A Halwani, Mohammed Garout, Safaa A Turkistani, Roua A Alsubki, Abdulsalam Alawfi, Amer Alshengeti, Mustafa A Najim, Nawal A Al Kaabi, Thikrayat Q Alqazih and 5 more

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In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Ali A RabaanMolecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, 31311, Saudi Arabia. arabaan@gmail.com.
Muhammad A HalwaniDepartment of Medical Microbiology, Faculty of Medicine, Al Baha University, Al Baha, 4781, Saudi Arabia.
Mohammed GaroutDepartment of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah, 21955, Saudi Arabia.
Safaa A TurkistaniFakeeh College for Medical Science, Jeddah, Saudi Arabia.
Roua A AlsubkiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, 11362, Saudi Arabia.
Abdulsalam AlawfiDepartment of Pediatrics, College of Medicine, Taibah University, Al-Madinah, 41491, Saudi Arabia.
Amer AlshengetiDepartment of Pediatrics, College of Medicine, Taibah University, Al-Madinah, 41491, Saudi Arabia.
Mustafa A NajimDepartment of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Madinah, 41411, Saudi Arabia.
Nawal A Al KaabiCollege of Medicine and Health Science, Khalifa University, Abu Dhabi, 127788, United Arab Emirates.
Thikrayat Q AlqazihSheikh Khalifa Medical City, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, 51900, United Arab Emirates.
Ali A AseeriSheikh Khalifa Medical City, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, 51900, United Arab Emirates.
Afnan S BahithamMicrobiology Laboratory Department, King Fahad Specialist Hospital, Dammam, 32253, Saudi Arabia.
Manal A AlsubaieBiochemistry Laboratory Department, King Fahad Specialist Hospital, Dammam, 32253, Saudi Arabia.
Mohammed AlissaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Mohammed AljeldahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hafr Al Batin, Hafr Al Batin, 39831, Saudi Arabia. mmaljeldah@uhb.edu.sa.

Funding

Prince Sattam bin Abdulaziz University PSAU/2023/R/1444
6 · The paper itself

Abstract

Tuberculosis (TB) is a global burden to humanity due to its adverse effects on health and society since time is not clearly defined. The existence of drug-resistant strains and the potential threat posed by latent tuberculosis act as strong impetuses for developing novel anti-tuberculosis drugs. In this study, various flavonoids were tested against the Mycobacterium tuberculosis (Mtb) Isocitrate Lyase (ICL), which has been identified as an authorised therapeutic target for treating Mtb infection. Using in silico drug discovery approach, a library of 241 flavonoid compounds was virtually screened against the binding pocket of the crystalline ligand, the VGX inhibitor, in the Mtb ICL protein. As a result, the top four flavonoids were selected based on binding score and were further considered for redocking and intermolecular contact profiling analysis. The global and local fluctuations in the protein and ligand structure were analysed using their root mean square deviation (RMSD) and root mean square fluctuation (RMSF) values obtained from the GROMACS generated 100 ns molecular dynamics (MD) simulation trajectories. The end-state binding free energy was also calculated using the MMPBSA approach for all the respective docked complexes. All four selected compounds exhibited considerable stability and affinity compared to control ligands, i.e. VGX inhibitor; however, Vaccarin showed the highest stability and affinity against the Mtb ICL protein active site, followed by the Genistin, Glabridin, and Corylin. Therefore, this study recommends selected flavonoids for in vitro and in vivo experimental studies to check their potency and efficacy against Mtb.

Indexed as

Antitubercular AgentsEnzyme InhibitorsFlavonoidsIsocitrate LyaseMolecular Docking SimulationMolecular Dynamics SimulationMycobacterium tuberculosisComputer SimulationLigandsProtein BindingAntitubercular AgentsEnzyme InhibitorsFlavonoidsIsocitrate LyaseLigandsDrug discoveryFlavonoidsIsocitrate LyaseMD simulationMycobacterium tuberculosis

Identifiers

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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.