Evidence map›Paper›PMID 40610643›Full record

ArticleScientific reports2025

Subtractive proteomics and molecular docking identify therapeutic targets and drug candidates in drug resistant Klebsiella Michiganensis THO-011.

Abdullah R Alanzi, Ahmad Z Alanazi, Khalid Alhazzani, Munawar Abbas

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Abdullah R AlanziDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. aralonazi@ksu.edu.sa.
Ahmad Z AlanaziDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Khalid AlhazzaniDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Munawar AbbasCollege of Food Science and Engineering, Henan University of technology Zhengzhou, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Klebsiella michiganensis, an emerging multidrug-resistant pathogen, poses a significant public health threat. This study employed subtractive genomics to identify potential therapeutic targets in K. michiganensis THO-011. From 4,024 predicted open reading frames, we identified non-redundant, human non-homologous proteins and analyzed them for essentiality, subcellular localization, and metabolic pathway involvement. Two promising druggable targets, WP_004097788.1 and WP_219541799, vital for bacterial survival, were identified. Using AlphaFold-predicted structures, virtual screening of 10,000 natural compounds from the LOTUS database, alongside DrugBank controls, identified LTS0037797 and LTS0037810 as top inhibitors. Glide Gscores ranked these compounds, with validation via MM-GBSA binding energy and molecular dynamics simulations confirming their stability and binding efficacy. These findings highlight novel therapeutic strategies against K. michiganensis, with further in vitro studies necessary to advance these inhibitors to clinical application.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsDrug Resistance, Multiple, BacterialKlebsiellaMolecular Docking SimulationProteomicsHumansMolecular Dynamics SimulationAnti-Bacterial AgentsBacterial ProteinsDruggable proteinsKlebsiella MichiganensisMD simulationMolecular dockingORFsSubtractive genomics

Identifiers

PMID40610643
PMCPMC12226713

What OpenQuestion holds

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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.