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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Kashan</PublisherName>
				<JournalTitle>Iranian Journal of Mathematical Chemistry</JournalTitle>
				<Issn>2228-6489</Issn>
				<Volume>16</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Correlating Side Effects and Properties of Analgesics with Distance‎- ‎and Degree-Based Topological Indices</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>181</FirstPage>
			<LastPage>198</LastPage>
			<ELocationID EIdType="pii">115044</ELocationID>
			
<ELocationID EIdType="doi">10.22052/ijmc.2025.255917.1947</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Petra</FirstName>
					<LastName>Žigert Pletersek</LastName>
<Affiliation>Faculty of Natural Sciences and Mathematics‎, ‎University of Maribor‎, ‎Slovenia//Faculty of Chemistry and Chemical Engineering‎, ‎University of Maribor‎, ‎Slovenia</Affiliation>

</Author>
<Author>
					<FirstName>Zoja</FirstName>
					<LastName>Pletersek</LastName>
<Affiliation>Leiden University College‎,  ‎Leiden University‎,  ‎Netherlands</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>‎This study investigates the relationship between the structural properties of 22 analgesic molecules‎, ‎including opioids and non-steroidal anti-inflammatory drugs (NSAIDs)‎, ‎and their physico-chemical properties and side effects‎. ‎Opioids are effective for managing moderate to severe pain but carry risks of addiction and dependence‎, ‎while NSAIDs are widely used for their analgesic‎, ‎antipyretic‎, ‎and anti-inflammatory properties‎, ‎with risks primarily linked to gastrointestinal and cardiovascular complications‎. ‎Using graph theoretical approaches‎, ‎we modeled these molecules as molecular graphs‎, ‎calculating ten distance‎- ‎and degree-based topological indices‎. ‎The analysis aims to identify structural patterns that correlate with the drugs&#039; therapeutic effects and adverse reactions‎. ‎By leveraging computational tools such as Sage‎, ‎we explore how molecular topology can influence the pharmacological properties of analgesics‎, ‎offering insights into the design of new analgesics with optimized efficacy and safety profiles‎. ‎The results provide insight into connections between molecular structure and clinical outcomes‎, ‎contributing to more effective and safer approaches to pain management‎.&lt;br /&gt; </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Topological indices</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Analgesics drugs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Side effects</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijmc.kashanu.ac.ir/article_115044_48c78062ac60310c718664927e8a3286.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
