﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Shahrekord University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Herbmed Pharmacology</JournalTitle>
      <Issn>2345-5004</Issn>
      <Volume>11</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month>04</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>In silico study of dimethyltryptamine analogues against 5-HT1B receptor: Molecular docking, dynamic simulations and ADMET prediction</ArticleTitle>
    <FirstPage>204</FirstPage>
    <LastPage>212</LastPage>
    <ELocationID EIdType="doi">10.34172/jhp.2022.25</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Neyder</FirstName>
        <LastName>Contreras</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-0974-8894</Identifier>
      </Author>
      <Author>
        <FirstName>Antistio</FirstName>
        <LastName>Alvíz-Amador</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-7324-2487</Identifier>
      </Author>
      <Author>
        <FirstName>Isabella</FirstName>
        <LastName>Manzur-Villalobos</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-1979-7454</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jhp.2022.25</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2021</Year>
        <Month>10</Month>
        <Day>27</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2021</Year>
        <Month>12</Month>
        <Day>24</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: The 5-HT1B receptor has a potential role in various psychiatric disorders such as depression, anxiety, and post-traumatic stress disorder. The objective of this study was to perform docking and molecular dynamics simulation to evaluate at atomic level the behavior of N,N-dimethyltryptamine (DMT) on 5-HT1B receptor.Methods: In this study, initially, a search for DMT was performed using the PubChem database. Subsequently, molecular docking was executed using AutoDock Vina based in PyRx 0.8 with a 95% analogy. Additionally, ergotamine (ERG) and serotonin were used as control. Then, it ran a total of 100 ns molecular dynamics simulations on 5-HT1B bound with DMT, serotonin, 112814775, and ERG. Finally, pharmacokinetic prediction and IV acute toxicity for analogues and DMT were performed.Results: It was possible to show that 112814775 had the lowest binding energy with the receptor. In addition, 112814775 presented great conformational stability, low mobility, and stiffness compared to the control ligands: ERG, serotonin, and DMT subsequent dynamic analysis. With respect to the free energy calculation, contributions such as Van der Waals, electrostatics, and nonpolar interactions for all systems, were highlighted.Conclusion: 112814775 showed affinities with 5-HT1B receptor and evidenced notable behavior by molecular dynamic simulation according to root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), solvent-accessible surface area (SASA), the radius of gyration, number of hydrogen bond, and free energy calculated. These results established the possible relevance of in-silico studies in search of DMT analogues against the 5-HT1B receptor, which may be associated with alterations such as depression and anxiety, and may become future study molecules for the treatment of this type of disorder.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Serotonin</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Computational Chemistry</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Receptor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Anxiety disorder</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Depression</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Ayahuasca</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>