Identification of potential natural products derived from fungus growing termite, inhibiting Pseudomonas aeruginosa quorum sensing protein LasR using molecular docking and molecular dynamics simulation approach.
Muhammad ShoaibYasir AliYulong ShenJin-Feng NiPublished in: Journal of biomolecular structure & dynamics (2023)
Pseudomonas aeruginosa , the most common opportunistic pathogen, is becoming antibiotic-resistant worldwide. The fate of P. aeruginosa , a multidrug-resistant strain, can be determined by multidrug efflux pumps, enzyme synthesis, outer membrane protein depletion, and target alterations. Microbial niches have long used quorum sensing (QS) to synchronize virulence gene expression. Computational methods can aid in the development of novel P. aeruginosa drug-resistant treatments. The tripartite symbiosis in termites that grow fungus may help special microbes find new antimicrobial drugs. To find anti-quorum sensing natural products that could be used as alternative therapies, a library of 376 fungal-growing termite-associated natural products (NPs) was screened for their physicochemical properties, pharmacokinetics, and drug-likeness. Using GOLD, the top 74 NPs were docked to the QS transcriptional regulator LasR protein. The five lead NPs with the highest gold score and drug-like properties were chosen for a 200-ns molecular dynamics simulation to test the competitive activity of different compounds against negative catechin. Fridamycin and Daidzein had stable conformations, with mean RMSDs of 2.48 and 3.67 Å, respectively, which were similar to Catechin's 3.22 Å. Fridamycin and Daidzein had absolute binding energies of -71.186 and -52.013 kcal/mol, respectively, which were higher than the control's -42.75 kcal/mol. All the compounds within the active site of the LasR protein were kept intact by Trp54, Arg55, Asp67, and Ser123. These findings indicate that termite gut and fungus-associated NPs, specifically Fridamycin and Daidzein, are potent QS antagonists that can be used to treat P. aeruginosa 's multidrug resistance.Communicated by Ramaswamy H. Sarma.
Keyphrases
- molecular dynamics simulations
- molecular docking
- drug resistant
- pseudomonas aeruginosa
- multidrug resistant
- acinetobacter baumannii
- gene expression
- biofilm formation
- cystic fibrosis
- staphylococcus aureus
- gram negative
- protein protein
- amino acid
- binding protein
- microbial community
- small molecule
- oxide nanoparticles
- emergency department
- oxidative stress
- drug induced
- human health