Assessing the Inhibitory Potential of Natural Compounds for Targeting the CrtM Proteins in Methicillin-Resistant Staphylococcus aureus through Machine Learning-based QSAR Modeling and Structural Dynamics Analysis

This study concluded that 4299376 exhibits considerable therapeutic potential and could be investigated further for its potential use as an inhibitor against CrtM of S. aureus.

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Publication Details

Journal
Current Medicinal Chemistry
Published
2025-03-04
DOI
https://doi.org/10.2174/0109298673340184250120065924
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
Controls
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article

Assessing the Inhibitory Potential of Natural Compounds for Targeting the CrtM Proteins in Methicillin-Resistant Staphylococcus aureus through Machine Learning-based QSAR Modeling and Structural Dynamics Analysis

Zia ur Rehman
1 citations
Current Medicinal Chemistry
Computational Drug Discovery Methods
1.50
article

Assessing the Inhibitory Potential of Natural Compounds for Targeting the CrtM Proteins in Methicillin-Resistant Staphylococcus aureus through Machine Learning-based QSAR Modeling and Structural Dynamics Analysis

Zia ur Rehman
article en
1 citations

Abstract

This study concluded that 4299376 exhibits considerable therapeutic potential and could be investigated further for its potential use as an inhibitor against CrtM of S. aureus.

Current Medicinal ChemistryVol. 32(41)
Jazan University (SA)
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
1.50
DOISourceOpenAlex
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Assessing the Inhibitory Potential of Natural Compounds for Targeting the CrtM Proteins in Methicillin-Resistant Staphylococcus aureus through Machine Learning-based QSAR Modeling and Structural Dynamics Analysis — Zia ur Rehman · Current Medicinal Chemistry (2025) | TGRS Research Map | TGRS