Ligand-based virtual screening to predict inhibitors against metastatic lymph node 64

被引:6
作者
Chitrala, Kumaraswamy Naidu [1 ]
Yeguvapalli, Suneetha [1 ]
机构
[1] Sri Venkateswara Univ, Dept Zool, Tirupati 517502, Andhra Pradesh, India
关键词
MLN64; StARD3; steroidogenesis; virtual screening; zinc database; START DOMAINS; CHOLESTEROL; MLN64; STEROIDOGENESIS; TRANSPORT;
D O I
10.3109/10799893.2013.862269
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Conversion of cholesterol to pregnenolone is the rate-limiting step in steroidogenesis, which is mediated by StAR protein. The mammalian genome contains 15 START domain proteins (StARD1-StARD15) of which C-terminal cytosolic START domain of metastatic lymph node 64 (MLN64 or StARD3), is known to mobilize cholesterol and proposed to participate in steroidogenesis. Being a key in steroidogenesis, it is of interest to identify new inhibitors that are able to bind MLN64 protein. In the present study, we used ligand-based virtual screening approach to identify ligands from the ZINC database with D(-)-Tartaric Acid (TAR) serving as a template.
引用
收藏
页码:92 / 96
页数:5
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