Correlation Engine 2.0
Clear Search sequence regions

Sizes of these terms reflect their relevance to your search.

Drug resistance caused by excessive and indiscriminate antibiotic usage has become a serious public health problem. The need of finding new antibacterial drugs is more urgent than ever before. Tyrosyl-tRNA synthase was proved to be a potent target in combating drug-resistant bacteria. In silico methodologies including molecular docking and 3D-QSAR were employed to investigate a series of newly reported tyrosyl-tRNA synthase inhibitors of furanone derivatives. Both internal and external cross-validation were conducted to obtain high predictive and satisfactory CoMFA model (q 2 = 0.611, r 2pred  = 0.933, r 2m  = 0.954) and CoMSIA model (q 2 = 0.546, r 2pred  = 0.959, r 2m  = 0.923). Docking results, which correspond with CoMFA/CoMSIA contour maps, gave the information for interactive mode exploration. Ten new molecules designed on the basis of QSAR and docking models have been predicted more potent than the most active compound 3-(4-hydroxyphenyl)-4-(2-morpholinoethoxy)furan-2(5H)-one (15) in the literatures. The results expand our understanding of furanones as inhibitors of tyrosyl-tRNA synthase and could be helpful in rationally designing of new analogs with more potent inhibitory activities.


Shengrong Li, Jilin Fan, Chengkang Peng, Yiqun Chang, Lianxia Guo, Jinsong Hou, Miaoqi Huang, Biyuan Wu, Junxia Zheng, Longxin Lin, Gaokeng Xiao, Weimin Chen, Guochao Liao, Jialiang Guo, Pinghua Sun. New molecular insights into the tyrosyl-tRNA synthase inhibitors: CoMFA, CoMSIA analyses and molecular docking studies. Scientific reports. 2017 Sep 14;7(1):11525

PMID: 28912450

View Full Text