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<Article>
<Journal>
				<PublisherName>Tarbiat Modares University</PublisherName>
				<JournalTitle>Infection Epidemiology and Microbiology</JournalTitle>
				<Issn>2588-4107</Issn>
				<Volume>12</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>In-Silico Identification of Phytochemical Inhibitors of Mycobacterium tuberculosis Efflux Pumps: A Potential Strategy against Multidrug Resistance</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>37</FirstPage>
			<LastPage>52</LastPage>
			<ELocationID EIdType="pii">28716</ELocationID>
			
<ELocationID EIdType="doi">10.66224/iem.12.1.37</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Seyed Akbar</FirstName>
					<LastName>Moosavi</LastName>
<Affiliation>Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Iran University of Medical Sciences and Health Services, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Abdorrahim</FirstName>
					<LastName>Absalan</LastName>
<Affiliation>Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Iran University of Medical Sciences and Health Services, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Zahra</FirstName>
					<LastName>Absalan</LastName>
<Affiliation>Department of Microbiology, Faculty of medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Fereshteh</FirstName>
					<LastName>Parto</LastName>
<Affiliation>Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Iran University of Medical Sciences and Health Services, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>05</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Background:&lt;/strong&gt; Efflux pump-mediated antibiotic extrusion is a key mechanism of multidrug resistance in Mycobacterium tuberculosis (MTB). Inhibiting these pumps is a promising strategy for resensitizing resistant strains to conventional antibiotics.&lt;br&gt;&lt;strong&gt;Materials &amp; Methods:&lt;/strong&gt; An integrated in silico approach was employed to evaluate the interaction of drug-like ligands, primarily phytochemicals, with key MTB efflux pumps. Homology models of DrrA, DrrB, and DrrC proteins and the crystal structure of Rv1819c were used for molecular docking. Top-scoring ligands were subsequently analyzed for drug-likeness, toxicity profile, and binding stability via molecular dynamics (MD) simulations to identify the most promising efflux pump inhibitors (EPIs).&lt;br&gt;&lt;strong&gt;Findings:&lt;/strong&gt; Molecular docking revealed high-affinity binding of several phytochemicals. The top-scoring ligands were curcumin, rosmarinic acid, and pracinostat for DrrA; curcumin, kanzonol C, and Skf-100330A for DrrB; and rosmarinic acid, curcumin, and kanzonol C for DrrC. For the Rv1819c protein, the top-scoring compounds were crocetin, curcumin, and kanzonol C, which were found to bind specifically to the ATP-interacting pocket. An integrated analysis of docking affinity, molecular dynamics stability, toxicity, and drug-likeness identified curcumin, kanzonol C, rosmarinic acid, and crocetin as the most promising candidate EPIs.&lt;br&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The present in-silico study identified curcumin, kanzonol C, rosmarinic acid, and crocetin as promising phytochemical inhibitors of key MTB efflux pumps. These compounds exhibited potential for synergistic activity with conventional anti-tuberculosis drugs. Therefore, preclinical and experimental validation is warranted to confirm their efficacy as efflux pump inhibitors.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">ATP-binding cassette transporters</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tuberculosis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multidrug resistance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Molecular docking simulations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Phytochemicals</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://iem.modares.ac.ir/article_28716_8ff28835276bec79658f56f14f699674.pdf</ArchiveCopySource>
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