DNA旋转酶
药效团
拓扑异构酶
拓扑异构酶
对接(动物)
计算生物学
细菌
生物信息学
虚拟筛选
抗菌活性
抗生素耐药性
抗生素
生物
化学
微生物学
大肠杆菌
生物信息学
DNA
医学
生物化学
遗传学
护理部
基因
作者
Joshua W. Powell,Chelsea A. Mann,Paul D. Toth,Sheri Nolan,Andre F. Steinert,Clarissa Ove,Justin T. Seffernick,Daniel J. Wozniak,Razieh Kebriaei,Steffen Lindert,Neil Osheroff,Jack C. Yalowich,Mark J. Mitton‐Fry
标识
DOI:10.1021/acsmedchemlett.4c00162
摘要
Multidrug-resistant bacterial infections pose an ever-evolving threat to public health. Since the outset of the antibacterial age, bacteria have developed a multitude of diverse resistance mechanisms that suppress the effectiveness of current therapies. New drug entities, such as Novel Bacterial Topoisomerase Inhibitors (NBTIs), can circumvent this major issue. A computational docking model was employed to predict the binding to DNA gyrase of atypical NBTIs with novel pharmacophores. Synthesis of NBTIs based on computational docking and subsequent antibacterial evaluation against both Gram-positive and Gram-negative bacteria yielded congeners with outstanding anti-staphylococcal activity and varying activity against select Gram-negative pathogens.
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