﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>
      </PublisherName>
      <JournalTitle>Journal of Biochemicals and Phytomedicine</JournalTitle>
      <Issn>2958-8561</Issn>
      <Volume>3</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month>06</Month>
        <DAY>30</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>An In Silico Molecular Docking and ADMET Studies of Some GC-MS Analysed Compounds from Methanol Extract of Mitracapus hirtus</ArticleTitle>
    <FirstPage>21</FirstPage>
    <LastPage>35</LastPage>
    <ELocationID EIdType="doi">10.34172/jbp.2024.7</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Abubakar</FirstName>
        <LastName>Hassan</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-1039-5782</Identifier>
      </Author>
      <Author>
        <FirstName>Alam</FirstName>
        <LastName>Ozair</LastName>
      </Author>
      <Author>
        <FirstName>Tukur</FirstName>
        <LastName>Mukhtar</LastName>
      </Author>
      <Author>
        <FirstName>Suleiman</FirstName>
        <LastName>Mustapha</LastName>
      </Author>
      <Author>
        <FirstName>Muazu</FirstName>
        <LastName>Alhaji Safiya</LastName>
      </Author>
      <Author>
        <FirstName>Yusuf</FirstName>
        <LastName>Amina Jega</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jbp.2024.7</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>12</Month>
        <Day>12</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2024</Year>
        <Month>05</Month>
        <Day>25</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Fungal infections, particularly in Nigeria, represent a significant public health concern and are among the most prevalent infections in Sub-Saharan Africa. Methods: An in silico molecular docking and ADMET analysis were conducted on several GC-MS-analyzed compounds targeting two fungal enzymes—Squalene Synthase (SS) and Lanosterol-14α Demethylase (14α DM). The analyses were performed using PyRx software’s AutoDock tools, SwissADME, and PROTox II. Results: The docking analysis of seven selected compounds from the GC-MS analysis, including Methyl 3-[(3-chlorophenyl)methyl]-2-cyclohexylimidazo[1,2-a]pyridine-6-carboxylate, 4-(Phenylsulfanyl)-6-(pyrrolidin-1-yl)-2,1,3-benzoxadiazole, 2,4,6-Triphenylthiopyran, 3-(Naphthalen-1-ylmethyl)-1-pentyl-1H-indole, 5-(Benzyloxy)-1-methyl-1H-indole, 1-(2H-1,3-Benzodioxol-5-yl)-3-(7-methoxy-2H-1,3-benzodioxol-5-yl)prop-2-en-1-one, and 2-Benzo[1,3]dioxol-5-yl-8-methoxy-3-nitro-2H-chromene, revealed interactions between the selected ligands and the active sites of SS and 14α DM. The binding scores for the best poses ranged from -8.6 to -10.3 kcal/mol for SS, and from -8.7 to -9.7 kcal/mol for 14α DM. Among these, 2,4,6-Triphenylthiopyran demonstrated the highest affinity and the lowest docking score for both targets, while 5-(Benzyloxy)-1-methyl-1H-indole and 2-Benzo[1,3]dioxol-5-yl-8-methoxy-3-nitro-2H-chromene exhibited the highest docking scores against the respective target enzymes. The drug-likeness parameters and pharmacokinetic properties of the phytochemical constituents of M. hirtus showed molecular weights ranging from 237.30 to 382.88 g/mol, numbers of rotatable bonds from 3 to 6, H-bond donors were 0 for all test compounds, H-bond acceptors ranged from 0 to 6, iLogP values ranged from 2.87 to 4.01, TPSA values ranged from 4.93 to 82.74 Å², and molar refractivity values ranged from 74.18 to 107.82. High GI absorption, BBB permeability, P-glycoprotein substrates, inhibition of CYP1A2, CYP2C19, and CYP2C9, as well as skin permeability (LogKp), were also evaluated. Conclusion: This study identified several compounds as potential inhibitors of SS and 14α DM demethylase, with superior binding affinity compared to co-crystallized ligands, alongside a favorable ADMET profile.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Molecular Docking</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ADMET</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">GC-MS</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">14α DM</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Secondary metabolites</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>