Evidence map›Paper›PMID 39565390›Full record

ArticleArchives of microbiology2024

Discovering novel inhibitors of RfaH from Klebsiella pneumoniae to combat antimicrobial resistance.

Mohammad Umar Saeed, Shazia Ahmed, Arunabh Choudhury, Afzal Hussain, Mohamed F Alajmi, Taj Mohammad, Md Imtaiyaz Hassan

Abstract read
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In one paragraph

Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Mohammad Umar SaeedCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India.
Shazia AhmedDepartment of Computer Science, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India.
Arunabh ChoudhuryCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India.
Afzal HussainDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Mohamed F AlajmiDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Taj MohammadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India.
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India. mihassan@jmi.ac.in.

Funding

Indian Council of Medical Research Grant No. ECD/adoc/2/2021-22King Saud University RSPD2023R980
6 · The paper itself

Abstract

RfaH is a crucial protein involved in anti-termination of transcription, which is necessary for spreading virulence in certain types of bacteria, such as Klebsiella pneumoniae and Escherichia coli. RfaH works by interacting directly with RNA polymerase and ribosomes, which activates the production of certain components needed for the bacteria's survival. Targeting RfaH offers a novel approach to hindering bacterial transcription and virulence. In this study, we performed computational screening of the IMPPAT 2.0 database consisting of 17,967 natural compounds, which were filtered based on Lipinski's RO5 filter, selecting only those that had druglike properties. We performed virtual screening on the remaining 11,708 druglike phytochemicals and selected those having strong binding affinity and specificity, leading to the identification of top hits. These hits were further evaluated based on their pharmacokinetic features like PAINS filter, pharmacokinetic properties, pan assay interference, and interaction analysis. Finally, three phytochemicals, Withanone, Withametelin B, and Ixocarpanolide were identified as potential inhibitors for RfaH, having appreciable affinity of - 9.0, - 9.0 and - 8.8 kcal/mol specificity towards the binding pocket of RfaH. An all-atom molecular dynamic simulation was carried out for 500 ns to examine the structural flexibility and dynamic stability of RfaH and RfaH-ligand complexes, which revealed that complexes maintained stability throughout the given duration. All the selected compounds have shown drug-like properties as predicted from ADMET analysis and their physicochemical parameters. These compounds selectively bind to the crucial binding sites of RfaH and interact with important residues, preventing its binding with RNAP which can further be exploited as potential lead molecules against RfaH, providing a promising therapeutic avenue for combating antibiotic resistance.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsKlebsiella pneumoniaeDrug Resistance, BacterialMolecular Docking SimulationMolecular Dynamics SimulationPhytochemicalsAnti-Bacterial AgentsBacterial ProteinsPhytochemicalsAntimicrobial resistanceKlebsiella pneumoniaeMolecular dynamics simulationNatural compoundsPhytochemicalsRfaH

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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.