Structure-Activity Relationship Target Prediction Studies of Clindamycin Derivatives with Broad-Spectrum Bacteriostatic Antibacterial Properties

被引:3
|
作者
Jia, Yiduo [1 ]
Zhang, Yinmeng [1 ]
Zhu, Hong [1 ]
机构
[1] Wuhan Inst Technol, Sch Chem Engn & Pharm, Wuhan 430073, Peoples R China
来源
MOLECULES | 2023年 / 28卷 / 21期
关键词
clindamycin derivatives; MD simulation; binding force analysis; ADMET prediction; protein subcellular localization; MOLECULAR DOCKING; PROTEIN;
D O I
10.3390/molecules28217357
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This study investigated the potential of clindamycin derivatives with broad-spectrum antibacterial properties. The main goal was to identify new antibacterial targets to lay the foundation for developing novel antimicrobial agents. This research used molecular docking and dynamics simulations to explore how clindamycin derivatives could combat bacterial resistance and widen their antibacterial capabilities. Three different clindamycin derivatives were studied against 300 target proteins. Among these, 26 proteins were found to be common targets for all three derivatives. After further screening through molecular docking and dynamics simulations, four specific protein targets were identified. Notably, one of these targets, cell division protein FtsZ, was found to be primarily located in the cyto and cyto_nucl compartments. These findings suggest that clindamycin derivatives have the potential to address bacterial resistance and broaden their antibacterial effectiveness through these identified protein targets.
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页数:14
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