Evidence map›Paper›PMID 40730846›Full record

ArticleScientific reports2025

A computational approach to mycolic acid biosynthesis disruption in mycobacterium tuberculosis via molluscan metabolites as KasA inhibitors.

Abdullah R Alanzi, Fatimah Mohammed Alsulais, Bayan Abdullah Alhaidhal

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Abdullah R AlanziDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. aralonazi@ksu.edu.sa.
Fatimah Mohammed AlsulaisDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Bayan Abdullah AlhaidhalDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing global health challenge posed by Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), is exacerbated by the emergence of drug-resistant strains. This study explores the potential of inhibiting the KasA protein, a key component of the bacterium's type II fatty acid synthase system (FAS-II) involved in mycolic acid biosynthesis. Inhibition of KasA could disrupt the integrity of the mycobacterial cell wall, which is crucial for its survival and virulence. In this study, we screened a library of 730 Molluscan metabolites using molecular docking techniques via the Glide tool, identifying ten compounds with significant binding affinities ranging from - 7.535 to -6.517 kcal/mol. The ADMET profiles of these compounds were evaluated, revealing acceptable toxicity levels for four selected candidates: CMNPD7125, CMNPD22991, CMNPD4542, and CMNPD12265. Additionally, molecular dynamics simulations confirmed the stability of these compounds within the KasA binding pocket, reinforcing their potential as effective inhibitors. This integrated approach combining molecular docking, ADMET analysis, and dynamic simulations advances the search for innovative treatments against drug-resistant TB and supports rational drug design efforts for future anti-tubercular agents.

Indexed as

Antitubercular AgentsBacterial ProteinsEnzyme InhibitorsFatty Acid Synthase, Type IIMolluscaMycobacterium tuberculosisMycolic AcidsAnimalsMolecular Docking SimulationMolecular Dynamics SimulationAntitubercular AgentsBacterial ProteinsEnzyme InhibitorsFatty Acid Synthase, Type IIMycolic AcidsKasA proteinMD SimulatonsMolecular dockingMollusca metabolitesTuberculosis (TB)

Identifiers

PMID40730846
PMCPMC12307626

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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.