Robust Mechanical Destruction to the Cell Membrane of Carbon Nitride Polyaniline (C 3 N): A Molecular Dynamics Simulation Study.
Renqing ZengLongxue CaiJose Manuel Perez-AguilarZonglin GuXianfa LiuPublished in: Journal of chemical information and modeling (2023)
The drug-resistant bacteria, particularly multidrug-resistant bacteria, has emerged as a major global public health concern posing serious threats to human life and survival. Nanomaterials, including graphene, have shown promise as effective antibacterial agents owing to their unique antibacterial mechanism compared with traditional drugs. Despite the structural similarity to graphene, the potential antibacterial activity of carbon nitride polyaniline (C 3 N) remains unexplored. In this study, we employed molecular dynamics simulations to investigate the effects of the interaction between the C 3 N nanomaterial and the bacterial membrane to evaluate the potential antibacterial activity of C 3 N. Our results suggest that C 3 N is capable of inserting deep into the bacterial membrane interior, regardless of the presence or absence of positional restraints in the C 3 N. The insertion process also resulted in local lipid extraction by the C 3 N sheet. Additional structural analyses revealed that C 3 N induced significant changes in membrane parameters, including mean square displacement, deuterium order parameters, membrane thickness, and area per lipid. Docking simulations, where all the C 3 N are restraint to a specific positions, confirmed that C 3 N can extract lipids from the membrane, indicating the strong interaction between the C 3 N material and the membrane. Free-energy calculations further revealed that the insertion of the C 3 N sheet is energetically favorable and that C 3 N exhibits membrane insertion capacity comparable to that observed for graphene, suggesting their potential for similar antibacterial activity. This study provides the first evidence of the potential antibacterial properties of C 3 N nanomaterials via bacterial membrane damage and underscores the potential for its use as antibacterial agents in the future applications.
Keyphrases
- molecular dynamics
- drug resistant
- molecular dynamics simulations
- multidrug resistant
- public health
- silver nanoparticles
- density functional theory
- acinetobacter baumannii
- mass spectrometry
- endothelial cells
- anti inflammatory
- room temperature
- quantum dots
- fatty acid
- pseudomonas aeruginosa
- artificial intelligence
- big data
- liquid chromatography
- deep learning
- risk assessment
- free survival
- protein protein