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  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2025-12-30</publicationDate>
    
        <volume>18</volume>
        <issue>4</issue>

 
    <startPage>2985</startPage>
    <endPage>2999</endPage>

	 
      <doi>10.13005/bpj/3311</doi>
        <publisherRecordId>68243</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Comprehensive Analysis of Saussurea lappa: GC-MS Profiling, In Silico Evaluation, Toxicity Prediction, and Molecular Docking for Breast Cancer Therapy</title>

    <authors>
	 


      <author>
       <name>Reehana.Shaik</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Ishwarya Obilineni</name>


		
	<affiliationId>3</affiliationId>

      </author>
    

	 


      <author>
       <name>Naga Venkata Chenchu Lakshmi Kollipara</name>

		
	<affiliationId>2</affiliationId>
      </author>
    

	 


      <author>
       <name>K Ravishankar</name>

		
	<affiliationId>4</affiliationId>
      </author>
    


	 


      <author>
       <name>Saipraneeth Tripuraneni</name>

		
	<affiliationId>4</affiliationId>
      </author>
    


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of Pharmaceutical Analysis, KL College of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India </affiliationName>
    

		
		<affiliationName affiliationId="2">Department of Pharmaceutical Chemistry, KL College of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. </affiliationName>
    
		
		<affiliationName affiliationId="3">Department of Pharmacology, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh, India</affiliationName>
    
		
		<affiliationName affiliationId="4">Department of Pharmaceutics, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh, India. </affiliationName>
    
		
		
	  </affiliationsList>






    <abstract language="eng">The study's purpose is to conduct a thorough analysis of the <em>Saussurea lappa</em> root extract. The research focused on primary screening for phytochemicals followed by GC-MS analysis of both polar and non-polar extracts. A total of 34 components were found in the root extract; 1, 8-cyclopentadecadiyne was found to have the highest percentage in both extracts. The findings from SWISS target prediction, the PASS online database, and pdCSM-cancer are corroborated by the examination of structure-based biological activities, demonstrating that the anticancer capabilities of this plant root chemical are derived from structure-based drug advancements. The <em>in-silico</em> outcomes showed interactions involving alkyl bonds, binding affinity with EGFR kinase inhibitors, anti-proliferative proteins, and Steroid DELTA-isomerize target proteins were determined. A computational synergistic study was also performed to predict the possible drug combinations that can be administered with <em>Saussurea lappa</em> to treat cancer. This suggests an increased potential for developing anticancer drugs to treat breast cancer.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol18no4/comprehensive-analysis-of-saussurea-lappa-gc-ms-profiling-in-silico-evaluation-toxicity-prediction-and-molecular-docking-for-breast-cancer-therapy/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Anticancer activity</keyword>
      

      
        <keyword> BIOSIG online<i></keyword>
      

      
        <keyword></i> GC-MS</keyword>
      

      
        <keyword>In-silico</keyword>
      

      
        <keyword> Molecular docking</keyword>
      

      
        <keyword> Sassurea lappa</keyword>
      

      
        <keyword> SWISS target prediction</keyword>
      
</keywords>
  </record>
</records>