Cargando…

Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans

Streptococcus mutans, a gram-positive oral pathogen, is the primary causative agent of dental caries. Biofilm formation, a critical characteristic of S. mutans, is regulated by quorum sensing (QS). This study aimed to utilize pharmacoinformatics techniques to screen and identify effective phytochemi...

Descripción completa

Detalles Bibliográficos
Autores principales: Marimuthu, Shakti Chandra Vadhana, Murugesan, Jayaprabhakaran, Babkiewicz, Ewa, Maszczyk, Piotr, Sankaranarayanan, Murugesan, Thangamariappan, Esakkimuthu, Rosy, Joseph Christina, Ram Kumar Pandian, Sureshbabu, Kunjiappan, Selvaraj, Balakrishnan, Vanavil, Sundar, Krishnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383507/
https://www.ncbi.nlm.nih.gov/pubmed/37513386
http://dx.doi.org/10.3390/molecules28145514
_version_ 1785080927512166400
author Marimuthu, Shakti Chandra Vadhana
Murugesan, Jayaprabhakaran
Babkiewicz, Ewa
Maszczyk, Piotr
Sankaranarayanan, Murugesan
Thangamariappan, Esakkimuthu
Rosy, Joseph Christina
Ram Kumar Pandian, Sureshbabu
Kunjiappan, Selvaraj
Balakrishnan, Vanavil
Sundar, Krishnan
author_facet Marimuthu, Shakti Chandra Vadhana
Murugesan, Jayaprabhakaran
Babkiewicz, Ewa
Maszczyk, Piotr
Sankaranarayanan, Murugesan
Thangamariappan, Esakkimuthu
Rosy, Joseph Christina
Ram Kumar Pandian, Sureshbabu
Kunjiappan, Selvaraj
Balakrishnan, Vanavil
Sundar, Krishnan
author_sort Marimuthu, Shakti Chandra Vadhana
collection PubMed
description Streptococcus mutans, a gram-positive oral pathogen, is the primary causative agent of dental caries. Biofilm formation, a critical characteristic of S. mutans, is regulated by quorum sensing (QS). This study aimed to utilize pharmacoinformatics techniques to screen and identify effective phytochemicals that can target specific proteins involved in the quorum sensing pathway of S. mutans. A computational approach involving homology modeling, model validation, molecular docking, and molecular dynamics (MD) simulation was employed. The 3D structures of the quorum sensing target proteins, namely SecA, SMU1784c, OppC, YidC2, CiaR, SpaR, and LepC, were modeled using SWISS-MODEL and validated using a Ramachandran plot. Metabolites from Azadirachta indica (Neem), Morinda citrifolia (Noni), and Salvadora persica (Miswak) were docked against these proteins using AutoDockTools. MD simulations were conducted to assess stable interactions between the highest-scoring ligands and the target proteins. Additionally, the ADMET properties of the ligands were evaluated using SwissADME and pkCSM tools. The results demonstrated that campesterol, meliantrol, stigmasterol, isofucosterol, and ursolic acid exhibited the strongest binding affinity for CiaR, LepC, OppC, SpaR, and Yidc2, respectively. Furthermore, citrostadienol showed the highest binding affinity for both SMU1784c and SecA. Notably, specific amino acid residues, including ASP86, ARG182, ILE179, GLU143, ASP237, PRO101, and VAL84 from CiaR, LepC, OppC, SecA, SMU1784c, SpaR, and YidC2, respectively, exhibited significant interactions with their respective ligands. While the docking study indicated favorable binding energies, the MD simulations and ADMET studies underscored the substantial binding affinity and stability of the ligands with the target proteins. However, further in vitro studies are necessary to validate the efficacy of these top hits against S. mutans.
format Online
Article
Text
id pubmed-10383507
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103835072023-07-30 Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans Marimuthu, Shakti Chandra Vadhana Murugesan, Jayaprabhakaran Babkiewicz, Ewa Maszczyk, Piotr Sankaranarayanan, Murugesan Thangamariappan, Esakkimuthu Rosy, Joseph Christina Ram Kumar Pandian, Sureshbabu Kunjiappan, Selvaraj Balakrishnan, Vanavil Sundar, Krishnan Molecules Article Streptococcus mutans, a gram-positive oral pathogen, is the primary causative agent of dental caries. Biofilm formation, a critical characteristic of S. mutans, is regulated by quorum sensing (QS). This study aimed to utilize pharmacoinformatics techniques to screen and identify effective phytochemicals that can target specific proteins involved in the quorum sensing pathway of S. mutans. A computational approach involving homology modeling, model validation, molecular docking, and molecular dynamics (MD) simulation was employed. The 3D structures of the quorum sensing target proteins, namely SecA, SMU1784c, OppC, YidC2, CiaR, SpaR, and LepC, were modeled using SWISS-MODEL and validated using a Ramachandran plot. Metabolites from Azadirachta indica (Neem), Morinda citrifolia (Noni), and Salvadora persica (Miswak) were docked against these proteins using AutoDockTools. MD simulations were conducted to assess stable interactions between the highest-scoring ligands and the target proteins. Additionally, the ADMET properties of the ligands were evaluated using SwissADME and pkCSM tools. The results demonstrated that campesterol, meliantrol, stigmasterol, isofucosterol, and ursolic acid exhibited the strongest binding affinity for CiaR, LepC, OppC, SpaR, and Yidc2, respectively. Furthermore, citrostadienol showed the highest binding affinity for both SMU1784c and SecA. Notably, specific amino acid residues, including ASP86, ARG182, ILE179, GLU143, ASP237, PRO101, and VAL84 from CiaR, LepC, OppC, SecA, SMU1784c, SpaR, and YidC2, respectively, exhibited significant interactions with their respective ligands. While the docking study indicated favorable binding energies, the MD simulations and ADMET studies underscored the substantial binding affinity and stability of the ligands with the target proteins. However, further in vitro studies are necessary to validate the efficacy of these top hits against S. mutans. MDPI 2023-07-19 /pmc/articles/PMC10383507/ /pubmed/37513386 http://dx.doi.org/10.3390/molecules28145514 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marimuthu, Shakti Chandra Vadhana
Murugesan, Jayaprabhakaran
Babkiewicz, Ewa
Maszczyk, Piotr
Sankaranarayanan, Murugesan
Thangamariappan, Esakkimuthu
Rosy, Joseph Christina
Ram Kumar Pandian, Sureshbabu
Kunjiappan, Selvaraj
Balakrishnan, Vanavil
Sundar, Krishnan
Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title_full Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title_fullStr Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title_full_unstemmed Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title_short Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans
title_sort pharmacoinformatics-based approach for uncovering the quorum-quenching activity of phytocompounds against the oral pathogen, streptococcus mutans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383507/
https://www.ncbi.nlm.nih.gov/pubmed/37513386
http://dx.doi.org/10.3390/molecules28145514
work_keys_str_mv AT marimuthushaktichandravadhana pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT murugesanjayaprabhakaran pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT babkiewiczewa pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT maszczykpiotr pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT sankaranarayananmurugesan pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT thangamariappanesakkimuthu pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT rosyjosephchristina pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT ramkumarpandiansureshbabu pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT kunjiappanselvaraj pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT balakrishnanvanavil pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans
AT sundarkrishnan pharmacoinformaticsbasedapproachforuncoveringthequorumquenchingactivityofphytocompoundsagainsttheoralpathogenstreptococcusmutans