<?xml version="1.0" encoding="UTF-8"?>



<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2026-08-04</publicationDate>
    
        <volume>19</volume>
        <issue>3</issue>

 
    <startPage></startPage>
    <endPage></endPage>

	    <publisherRecordId>72847</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">In Silico ADMET, Network Pharmacology, and Docking Analysis of Green-Synthesized Tetrahydropyrimidine Derivatives</title>

    <authors>
	 


      <author>
       <name>Fariya Mohideen</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Sakthi Periyasamy</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Priya Deivasigamani</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of Pharmaceutical Chemistry,SRM College of Pharmacy, Faculty of Medicine and Health Sciences,SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Pyrimidine derivatives are significant heterocyclic frameworks exhibiting several pharmacological actions, including antihypertensive properties. In this research, two new tetrahydropyrimidine derivatives were synthesized using an environmentally friendly Biginelli reaction that was sped up by onion peel powder, which is a bio-waste material that can be reused. IR and mass spectrometry was used to establish the structures of the synthesised compounds, and computer modeling was performed to see how well they may work as antihypertensive drugs. SwissADME, pkCSM, and ProTox-II tools were used to check the ADMET properties. Network pharmacology analysis, protein–protein interaction, Gene Ontology, and KEGG pathway enrichment analyses were used to find thecommon targets between genes linked to hypertension and targets linked to compounds. Molecular docking using AutoDock was performed on five important antihypertensive targets: Src kinase, MMP-2, GSK3β, ROCK1, and PKCα. We then compared the results to those of the reference medication nifedipine. Both compounds had good drug-like and pharmacokinetic qualities, while Compound 1 had the best balance of ADME and safety. Docking findings showed that the synthesized compounds, especially Compound 1, had similar or stronger binding affinities to important targets than nifedipine. In general, these results indicate that the tetrahydropyrimidine derivatives are excellent candidates for further testing as antihypertensive medicines.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol19no3/in-silico-admet-network-pharmacology-and-docking-analysis-of-green-synthesized-tetrahydropyrimidine-derivatives/</fullTextUrl>

<keywords language="eng">

      
        <keyword>ADMET Profiling</keyword>
      

      
        <keyword> Biginelli Reaction</keyword>
      

      
        <keyword> Green Synthesis</keyword>
      

      
        <keyword> Molecular Docking</keyword>
      

      
        <keyword> Network Pharmacology</keyword>
      

      
        <keyword> Tetrahydropyrimidine</keyword>
      
</keywords>
  </record>
</records>