School of Hydraulic and Environmental Engineering, Changchun Institute of Technology, Changchun 130012, China.
College of Forestry, Northeast Forestry University, Harbin 150040, China.
Molecules. 2022 Dec 2;27(23):8434. doi: 10.3390/molecules27238434.
Restricted economic conditions and limited sewage treatment facilities in rural areas lead to the discharge of small-scale breeding wastewater containing higher values of residual beta-lactam antibiotics (β-lactams), which seriously threatens the aquatic environment. In this paper, molecular docking and a comprehensive method were performed to quantify and fit the source modification for the combined biodegradation of β-lactams. Using penicillin (PNC) as the target molecule, combined with contour maps for substitute modification, a three-dimensional quantitative structure-activity relationship (3D-QSAR) model was constructed for the high-performance combined biodegradation of β-lactams. The selected candidate with better environmental friendliness, functionality, and high performance was screened. By using the homology modeling algorithms, the mutant penicillin-binding proteins (PBPs) of were constructed to have antibacterial resistance against β-lactams. The molecular docking was applied to obtain the target substitute by analyzing the degree of antibacterial resistance of β-lactam substitute. The combined biodegradation of β-lactams and substitute in the constructed wetland (CW) by different wetland plant root secretions was studied using molecular dynamics simulations. The result showed a 49.28% higher biodegradation of the substitutes than PNC when the combined wetland plant species of , , and . were employed.
在农村地区,有限的经济条件和污水处理设施导致含有较高残留β-内酰胺抗生素(β-内酰胺)值的小规模养殖废水排放,这严重威胁着水生环境。在本文中,采用分子对接和综合方法对β-内酰胺的联合生物降解进行了定量和拟合源修饰。以青霉素(PNC)为目标分子,结合取代修饰等高线图,构建了用于β-内酰胺高效联合生物降解的三维定量构效关系(3D-QSAR)模型。筛选出了具有更好的环境友好性、功能性和高性能的候选物。利用同源建模算法,构建了对β-内酰胺具有抗菌抗性的突变青霉素结合蛋白(PBP)。通过分析β-内酰胺取代物的抗菌抗性程度,应用分子对接获得目标取代物。利用分子动力学模拟研究了不同湿地植物根系分泌物在构建湿地(CW)中β-内酰胺和取代物的联合生物降解。结果表明,当采用、、和 等组合湿地植物物种时,取代物的生物降解率比 PNC 高出 49.28%。