生物信息学
虚拟筛选
可药性
对接(动物)
分子动力学
化学
淀粉酶
计算生物学
酶
李宾斯基五定律
自动停靠
药物发现
小分子
生物化学
生物
计算化学
医学
基因
护理部
作者
Ruth M. Ogboye,Rajesh B. Patil,Samson O. Famuyiwa,Kolade O. Faloye
标识
DOI:10.1080/07391102.2021.1883480
摘要
This study aimed to identify novel α-amylase and α-glucosidase inhibitors from Nigerian antidiabetic plants through in silico approach. Virtual screening of the 93 phytoconstituents was performed, and their inhibitory potentials were ranked based on their docking scores. Five hit molecules were selected for each enzyme target with their hydrogen bonding, hydrophobic, electrostatic, and pi interactions analyzed with discovery studio visualizer. The drug-likeness and ADMET studies of the hit molecules were performed to ascertain their druggability properties. Further, three top-ranked hit molecules were subjected to molecular dynamics simulations. The virtual screening, drug-likeness property, and ADMET studies, and molecular dynamics simulations carried out reveal Newbouldiaquinone A, Foetidin, Chamuvaritin, Cajaflavanone, and Azadirolic acid as potential inhibitors of α-amylase while Chamuvaritin, Newbouldiaquinone A, Flowerone, Scoparic acid A and Nimonol were potential inhibitors of α-glucosidase enzyme.Communicated by Ramaswamy H. Sarma.
科研通智能强力驱动
Strongly Powered by AbleSci AI