Discovery of new cholesteryl ester transfer protein inhibitors via ligand-based pharmacophore modeling and QSAR analysis followed by synthetic exploration

European Journal of Medicinal Chemistry
2010.0

Abstract

Cholesteryl ester transfer protein (CETP) is involved in trafficking lipoprotein particles and neutral lipids between HDL and LDL and therefore is considered a valid target for treating dyslipidemic conditions and complications. Pharmacophore modeling and quantitative structure-activity relationship (QSAR) analysis were combined to explore the structural requirements for potent CETP inhibitors. Two pharmacophores emerged in the optimal QSAR equation (r(2)=0.800, n=96, F=72.1, r(2)(LOO) =0.775, r(2)(PRESS) against 22 external test inhibitors=0.707) suggesting the existence of at least two distinct binding modes accessible to ligands within CETP binding pocket. The successful pharmacophores were complemented with strict shape constraints in an attempt to optimize their receiver-operating characteristic (ROC) curve profiles. The validity of our modeling approach was experimentally established by the identification of several CETP inhibitory leads retrieved via in silico screening of the National Cancer Institute (NCI) list of compounds and an in house built database of drugs and agrochemicals. Two hits illustrated low micromolar IC(50) values: NSC 40331 (IC(50)=6.5 microM) and NSC 89508 (IC(50)=1.9 microM). Active hits were then used to guide synthetic exploration of a new series of CETP inhibitors.

Knowledge Graph

Similar Paper

Discovery of new cholesteryl ester transfer protein inhibitors via ligand-based pharmacophore modeling and QSAR analysis followed by synthetic exploration
European Journal of Medicinal Chemistry 2010.0
Combining Ligand-Based Pharmacophore Modeling, Quantitative Structure−Activity Relationship Analysis and in Silico Screening for the Discovery of New Potent Hormone Sensitive Lipase Inhibitors
Journal of Medicinal Chemistry 2008.0
Elaborate ligand-based pharmacophore exploration and QSAR analysis guide the synthesis of novel pyridinium-based potent β-secretase inhibitory leads
Bioorganic & Medicinal Chemistry 2010.0
Ligand-based modeling of diverse aryalkylamines yields new potent P-glycoprotein inhibitors
European Journal of Medicinal Chemistry 2016.0
A Cholesteryl Ester Transfer Protein Inhibitor from an Insect-associated Fungus.
The Journal of Antibiotics 1996.0
Three-Dimensional Quantitative Structure-Activity Relationship Analysis of Human CYP51 Inhibitors
Drug Metabolism and Disposition 2007.0
Pharmacophore Modeling, Quantitative Structure–Activity Relationship Analysis, and in Silico Screening Reveal Potent Glycogen Synthase Kinase-3β Inhibitory Activities for Cimetidine, Hydroxychloroquine, and Gemifloxacin
Journal of Medicinal Chemistry 2008.0
Discovery of nanomolar phosphoinositide 3-kinase gamma (PI3Kγ) inhibitors using ligand-based modeling and virtual screening followed by in vitro analysis
European Journal of Medicinal Chemistry 2014.0
Discovery of novel CDK1 inhibitors by combining pharmacophore modeling, QSAR analysis and in silico screening followed by in vitro bioassay
European Journal of Medicinal Chemistry 2010.0
Ligand-based designing, in silico screening, and biological evaluation of new potent fructose-1,6-bisphosphatase (FBPase) inhibitors
European Journal of Medicinal Chemistry 2012.0