英哈
虚拟筛选
结核分枝杆菌
对接(动物)
药物发现
还原酶
化学
生物化学
生物信息学
辅因子
李宾斯基五定律
肺结核
立体化学
酶
医学
护理部
病理
基因
作者
Pharit Kamsri,Chayanin Hanwarinroj,Naruedon Phusi,Thimpika Pornprom,Kampanart Chayajarus,Auradee Punkvang,Nitima Suttipanta,Potjanee Srimanote,Khomson Suttisintong,Chomphunuch Songsiriritthigul,Patchreenart Saparpakorn,Supa Hannongbua,Siriluk Rattanabunyong,Supaphorn Seetaha,Kiattawee Choowongkomon,Sanya Sureram,Prasat Kittakoop,Poonpilas Hongmanee,Pitak Santanirand,Zhaoqiang Chen
标识
DOI:10.1021/acs.jcim.9b00918
摘要
The enoyl-acyl carrier protein reductase InhA of Mycobacterium tuberculosis is an attractive, validated target for antituberculosis drug development. Moreover, direct inhibitors of InhA remain effective against InhA variants with mutations associated with isoniazid resistance, offering the potential for activity against MDR isolates. Here, structure-based virtual screening supported by biological assays was applied to identify novel InhA inhibitors as potential antituberculosis agents. High-speed Glide SP docking was initially performed against two conformations of InhA differing in the orientation of the active site Tyr158. The resulting hits were filtered for drug-likeness based on Lipinski's rule and avoidance of PAINS-like properties and finally subjected to Glide XP docking to improve accuracy. Sixteen compounds were identified and selected for in vitro biological assays, of which two (compounds 1 and 7) showed MIC of 12.5 and 25 μg/mL against M. tuberculosis H37Rv, respectively. Inhibition assays against purified recombinant InhA determined IC50 values for these compounds of 0.38 and 0.22 μM, respectively. A crystal structure of the most potent compound, compound 7, bound to InhA revealed the inhibitor to occupy a hydrophobic pocket implicated in binding the aliphatic portions of InhA substrates but distant from the NADH cofactor, i.e., in a site distinct from those occupied by the great majority of known InhA inhibitors. This compound provides an attractive starting template for ligand optimization aimed at discovery of new and effective compounds against M. tuberculosis that act by targeting InhA.
科研通智能强力驱动
Strongly Powered by AbleSci AI