title: Ligand-based virtual screening to predict inhibitors against metastatic lymph node 64.
abstract: 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.
authors: Department of Zoology, Sri Venkateswara University , Tirupati, Andhra Pradesh , India.
authors: Kumaraswamy Naidu
authors: KN
authors: Chitrala
authors: Suneetha
authors: S
authors: Yeguvapalli
mesh_terms: D002352:Carrier Proteins / Q000037:antagonists & inhibitors* / Q000378:metabolism; D002784:Cholesterol / Q000378:metabolism; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D057166:High-Throughput Screening Assays; D006801:Humans; D008024:Ligands; D008565:Membrane Proteins / Q000037:antagonists & inhibitors* / Q000378:metabolism; D008958:Models, Molecular; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D017434:Protein Structure, Tertiary
chemical_list: D002352:Carrier Proteins; D008024:Ligands; D008565:Membrane Proteins; D004364:Pharmaceutical Preparations; C105684:STARD3 protein, human; D002784:Cholesterol