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Computational screening of natural compounds as putative quorum sensing inhibitors targeting drug resistance bacteria: Molecular docking and molecular dynamics simulations.
Chaieb, Kamel; Kouidhi, Bochra; Hosawi, Salman Bakr; Baothman, Othman A S; Zamzami, Mazin A; Altayeb, Hisham N.
Affiliation
  • Chaieb K; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: kalshaib@kau.edu.sa.
  • Kouidhi B; Medical Laboratory Department, College of Applied Medical Sciences, Yanbu, Taibah University, Saudi Arabia; Laboratory of Analysis, Treatment and Valorization of Pollutants of the Environmental and Products, Faculty of Pharmacy, University of Monastir, Tunisia.
  • Hosawi SB; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Baothman OAS; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Zamzami MA; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Altayeb HN; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia; Center of Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Comput Biol Med ; 145: 105517, 2022 06.
Article in En | MEDLINE | ID: mdl-35585729
ABSTRACT
Quorum sensing (QS) is a bacterial communication strategy controlling cells density, biofilm formation, virulence, sporulation, and survival. Since QS is considered a virulence factor in drug-resistant pathogenic bacteria, inhibition of QS can contribute to control the spread of these bacteria. We propose in this study to test in silico, 19 natural compounds for their potential to inhibit QS transcriptional regulators of Pseudomonas aeruginosa (LasR and PqsE) and Chromobacterium violaceum (CviR and CviR'). Molecular docking was performed to explore the binding energies between selected compounds, and QS signaling proteins. Additionally, molecular dynamics (MD) simulations of the complexes protein-ligand were tested to evaluate the stability of the complexs throughout the simulation process. The simulation interaction diagram (SID) was achieved to compute the radius of gyration (rGyr), solvent accessible surface area (SASA), intramolecular HBs, molecular surface area (MolSA), and polar surface area (PSA). Additionally, the physicochemical properties, pharmacokinetics, drug-likeness, and toxicity analysis of the best-selected compounds were determined. Among these compounds, catechin and nakinadine B were identified as potent QS antagonists that showed the best XP GScore and stable interaction during molecular dynamic simulation. Catechin interacts with LasR and CviR' displaying XP GScore -10.969 kcal/mol and -9.936 kcal/mol respectively. Additionally, nakinadine B interacts with PqsE and CviR giving XP GScore -7.442 kcal/mol and -10.34 kcal/mol respectively. RMSD plot analysis showed that both catechin and nakinadine B were stable during 50 ns simulation time with the tested target proteins. The predictive result of toxicity demonstrated that catechin and nakinadine B doesn't induce cytotoxicity, immunotoxicity, carcinogenicity, mutagenicity, hepatotoxicity and were at medium risk for hERG inhibition. Also they were found to be inactive for androgen receptor and aromatase. These results imply that catechin and nakinadine B may be suggested as QS modulators, which may reduce the virulence factors of drug-resistant bacteria.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Catechin / Quorum Sensing Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Comput Biol Med Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Catechin / Quorum Sensing Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Comput Biol Med Year: 2022 Document type: Article