药效团
虚拟筛选
化学
化学型
计算生物学
抗菌剂
抗生素
生物化学
酶
组合化学
结构-活动关系
结合位点
药物发现
抗菌剂
水解酶
工作流程
抗菌活性
立体化学
生物信息学
苯并恶唑
高通量筛选
活动站点
细菌
分子构象
喹诺酮类
血浆蛋白结合
生物活性
码头
分子模型
作者
Gao Zhang,C. Skyler Cochrane,Bochao Yang,Jinshi Zhao,Hongwei Jin,Song Wu,Pei Zhou,Jie Xia
标识
DOI:10.1021/acs.jmedchem.5c02939
摘要
Gram-negative pathogens are difficult to treat because their outer membrane, enriched with lipid A–anchored lipopolysaccharide, serves as a protective barrier to many antibiotics. LpxH, an essential dimanganese hydrolase in lipid A biosynthesis, represents a promising antimicrobial target, but its distinct L-shaped binding pocket has limited inhibitor development, with only the sulfonylpiperazine chemotype reported to date. To broaden the chemical space, we developed a multistage virtual screening workflow combining HipHop-based pharmacophore modeling, ROCS-based query matching, and FRED docking. This pipeline identified F523-0608, an acetylpiperazine-containing compound, as a moderate Klebsiella pneumoniae LpxH ( Kp LpxH) inhibitor. Substructure searching and optimization yielded compound 7, a potent inhibitor (IC 50: 0.17 μM) with moderate antibacterial activity (MIC: 5.3 μg/mL). The crystal structure of the Kp LpxH–compound 7 complex revealed its binding mode, validating virtual screening analysis. These studies establish acetylpiperazine derivatives as a new class of LpxH inhibitors and provide a foundation for future antibiotic development.
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