(Peer-Reviewed) QSAR Study and Molecular Design of Isoquinolone Derivative JNK1 Inhibitors
TONG Jian-Bo 仝建波 ¹ ², XIAO Xue-Chun 肖雪纯 ¹ ², LUO Ding 罗钉 ¹ ², XU Hai-Yin 徐海音 ¹ ², WANG Jie 王杰 ¹ ²
¹ College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
中国 西安 陕西科技大学化学与化工学院
² Shaanxi Key Laboratory of Chemical Additives for Industry, Xi'an 710021, China
中国 西安 陕西省轻化工助剂重点实验室
Abstract
JNK1 is a drug target for the treatment of type 2 diabetes, and it plays a key mediator role in metabolic disorders. In this paper, holographic quantitative structure-activity relationship (HQSAR) technology and Topomer comparative molecular field analysis (Topomer CoMFA) technology are used to analyze the quantitative structure-activity relationship (QSAR) of 39 isoquinolone derivatives. The cross validation correlation coefficient (q2) is 0.696 (Topomer CoMFA) and 0.826 (HQSAR), and the non-cross validation correlation coefficient (r2) is 0.935 (Topomer CoMFA) and 0.987 (HQSAR).
The results showed that the models have good stability and predictive ability. The Topomer search module was applied to define high contribution fragments in the ZINC database, designing 20 new isoquinolone compounds with theoretically high inhibitory activity. The molecular docking was carried out to explore the interaction between the ligand and target JNK1 protein. This study can provide a theoretical basis for the design of new JNK1 inhibitors.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
