Virtual screening of plant derived compounds for aldose reductase inhibition using molecular docking

被引:2
|
作者
Muppalaneni, Naresh Babu [1 ]
Rao, Allem Appa [1 ]
机构
[1] CR Rao Adv Inst Math Stat & Comp Sci, UoH Campus,Prof CR Rao Rd, Hyderabad 500046, Telangana, India
关键词
Computer aided drug design; Type; 2; diabetes; Molecular docking; Aldose reductase;
D O I
10.6026/97320630008980
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The role of the aldose reductase in type 2 diabetes is widely described. Therefore, it is of interest to identify plant derived compounds to inhibit its activity. We studied the protein-ligand interaction of 267 compounds from different parts of seven plants (Allium sativum, Coriandrum sativum, Dacus carota, Murrayyakoneigii, Eucalyptus, Calendula officinalis and Lycopersicon esculentum) with aldose reductase as the target protein. Molecular docking and re-scoring of top ten compounds (using GOLD, AutoDock Vina, eHiTS, PatchDock and MEDock) followed by rank-sum technique identified compound allium38 with high binding affinity for aldose reductase.
引用
收藏
页码:980 / 983
页数:4
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