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    <timestamp>20260715102115000</timestamp>
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      <depositor_name>Editor</depositor_name>
      <email_address>editor.jddt@gmail.com</email_address>
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    <registrant>Universal Journal of Pharmaceutical Research</registrant>
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        <full_title>Universal Journal of Pharmaceutical Research</full_title>
        <abbrev_title>Univ J Pharm Res</abbrev_title>
        <issn media_type="electronic">2456-8058</issn>
        <issn media_type="print">2831-5235</issn>
      </journal_metadata>
      <journal_issue>
        <publication_date media_type="online">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
        </publication_date>
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          <title>MOLECULAR MODELING AND VIRTUAL SCREENING FOR COMPUTER-AIDED DESIGN OF HCV NS5B POLYMERASE INHIBITORS</title>
        </titles>
        <contributors>
          <person_name contributor_role="author" sequence="first">
            <surname>Bertrand-Ulrich Yavo</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Akori Elvice Esmel</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Kouakou Jean-Louis Kouakou</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Melalie Kéita</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Megnassan Eugène</surname>
          </person_name>
        </contributors>
        <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
          <jats:p>Aims and objectives: This study aims to design new inhibitors for the Hepatitis C Virus (HCV) Non-Structural Protein 5B (NS5B) polymerase, an enzyme essential for viral replication. The research addresses an urgent public health issue affecting 71 million people and causing approximately 242,000 deaths annually.
Methodology: The research follows a computer-aided rational design approach. A Quantitative Structure-Activity Relationship (QSAR) model was developed using 24 quinazolinone derivatives (QDs) to correlate Gibbs free energy with experimental inhibition constants. The bound conformations of the ligands were used to construct a 3D-QSAR pharmacophore (PH4) model. A virtual library of 168,750 QDs was generated and filtered using ADME (Absorption, Distribution, Metabolism, and Excretion) criteria and PH4 screening. Conformational stability was evaluated through 200-ns molecular dynamics (MD) simulations. Binding free energy variations were quantified using the Molecular Mechanics - Generalized Born Surface Area (MM-GBSA) approach on MD trajectories, calculating molecular mechanics energy, solvation energy, and surface area contributions under the OPLS2005 force field.
Results: The QSAR model showed high predictive power and the PH4 model achieved an R2 of 0.85. Screening identified 39 potent analogues. The lead candidate, 3-6-4-45, exhibited a predicted inhibitory concentration of 0.62 nM, approximately 96 times more active than the best reference ligand (60 nM). MD simulations confirmed stability with RMSD values between 1.5 and 3 Å. MM-GBSA binding energies converged with predicted complexation energies, validating the computational reliability.
Conclusion: The integration of molecular modeling and in silico screening successfully identified six potent candidate inhibitors of the HCV NS5B polymerase with favorable pharmacokinetic profiles. These analogues represent high-affinity candidates for future therapeutic development.
                       
Peer Review History: 
Received 5 April 2026;   Reviewed 13 May 2026; Accepted  10 June; Available online 15 July 2026
Academic Editor: Dr. Ahmad Najib, Universitas Muslim Indonesia,  Indonesia, ahmad.najib@umi.ac.id
Reviewers:
 Dr. Sarfaraz Ahmed, Global Institute of Pharmaceutical Education and Research, Kashipur, Uttarakhand, India, sarfarazahmed1@gmail.com 
Prof. Amani S. Awaad, Prince Sattam Bin Abdulaziz University, Al-Kharj. KSA., amaniawaad@hotmail.com</jats:p>
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          <month>07</month>
          <day>15</day>
          <year>2026</year>
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