Evidence map›Paper›PMID 36964456›Full record

ArticleMolecular diversity2024

Anti-tubercular activity evaluation of natural compounds by targeting Mycobacterium tuberculosis resuscitation promoting factor B inhibition: An in silico study.

Ali A Rabaan, Mohammed Garout, Mohammed Aljeldah, Basim R Al Shammari, Abdulsalam Alawfi, Amer Alshengeti, Mustafa A Najim, Mohammed Alrouji, Yasir Almuhanna, Mohammed Alissa and 6 more

Abstract read
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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Computer-aided identification ofFrontiers in pharmacology · 2023
    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

16 authors.

Ali A RabaanMolecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, 31311, Saudi Arabia. arabaan@gmail.com.
Mohammed GaroutDepartment of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah, 21955, Saudi Arabia.
Mohammed AljeldahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hafr Al Batin, Hafr Al Batin, 39831, Saudi Arabia.
Basim R Al ShammariDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hafr Al Batin, Hafr Al Batin, 39831, Saudi Arabia.
Abdulsalam AlawfiDepartment of Pediatrics, College of Medicine, Taibah University, Al-Madinah41491, Saudi Arabia.
Amer AlshengetiDepartment of Pediatrics, College of Medicine, Taibah University, Al-Madinah41491, Saudi Arabia.
Mustafa A NajimDepartment of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Madinah, 41411, Saudi Arabia.
Mohammed AlroujiDepartment of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Shaqra, 11961, Saudi Arabia.
Yasir AlmuhannaDepartment of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Shaqra, 11961, Saudi Arabia.
Mohammed AlissaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Mutaib M MashraqiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, 61441, Saudi Arabia.
Ameen S S AlwashmiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia.
Mashael AlhajriDepartment of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia.
Souad Mohammed AlateahMicrobiology laboratory, Central military Laboratory and Blood Bank, Prince Sultan Military Medical City, Riyadh, 11159, Saudi Arabia.
Ramadan Abdelmoez FarahatFaculty of Medicine, Kafrelsheikh University, Kafrelsheikh, 33511, Egypt.
Ranjan K MohapatraDepartment of Chemistry, Government College of Engineering, Keonjhar, 758002, India. ranjank_mohapatra@yahoo.com.

Funding

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

Abstract

Tuberculosis (TB), an infectious disease caused by the Mycobacterium tuberculosis (Mtb), has been responsible for the deaths of millions of individuals around the globe. A vital protein in viral pathogenesis known as resuscitation promoting factor (RpfB) has been identified as a potential therapeutic target of anti-tuberculosis drugs. This study offered an in silico process to examine possible RpfB inhibitors employing a computational drug design pipeline. In this study, a total of 1228 phytomolecules were virtually tested against the RpfB of Mtb. These phytomolecules were sourced from the NP-lib database of the MTi-OpenScreen server, and five top hits (ZINC000044404209, ZINC000059779788, ZINC000001562130, ZINC000014766825, and ZINC000043552589) were prioritized for compute intensive docking with dock score ≤ - 8.5 kcal/mole. Later, molecular dynamics (MD) simulation and principal component analysis (PCA) were used to validate these top five hits. In the list of these top five hits, the ligands ZINC000044404209, ZINC000059779788, and ZINC000043552589 showed hydrogen bond formation with the functional residue Glu

Indexed as

Antitubercular AgentsBacterial ProteinsMolecular Docking SimulationMolecular Dynamics SimulationMycobacterium tuberculosisBiological ProductsComputer SimulationCytokinesLigandsPrincipal Component AnalysisAntitubercular AgentsBacterial ProteinsBiological ProductsCytokinesLigandsresuscitation-promoting factor, bacteriaDormancyInfectious diseasesRpfBTuberculosis

Identifiers

What OpenQuestion holds

Textmetadata
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.