2001
DOI: 10.1021/jm010060v
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Discovery of Novel Mesangial Cell Proliferation Inhibitors Using a Three-Dimensional Database Searching Method

Abstract: A three-dimensional pharmacophore model of mesangial cell (MC) proliferation inhibitors was generated from a training set of 4-(diethoxyphosphoryl)methyl-N-(3-phenyl-[1,2,4]thiadiazol-5-yl)benzamide, 2, and its derivatives using the Catalyst/HIPHOP software program. On the basis of the in vitro MC proliferation inhibitory activity, a pharmacophore model was generated as seven features consisting of two hydrophobic regions, two hydrophobic aromatic regions, and three hydrogen bond acceptors. Using this model as… Show more

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Cited by 34 publications
(23 citation statements)
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“…Secondly, Ibrolipim has been proved to be highly effective in increasing plasma HDL-C through mediating reverse cholesterol transport from peripheral tissues to the liver to protect against the excessive accumulation of cholesterol [44]. Thirdly, Ibrolipim exhibits the significant inhibitory activity of in vitro mesangial cell proliferation [45]. Further studies are warranted to determine the mechanisms of Ibrolipim in the suppression of renal lipid accumulation and renal disease.…”
Section: Discussionmentioning
confidence: 99%
“…Secondly, Ibrolipim has been proved to be highly effective in increasing plasma HDL-C through mediating reverse cholesterol transport from peripheral tissues to the liver to protect against the excessive accumulation of cholesterol [44]. Thirdly, Ibrolipim exhibits the significant inhibitory activity of in vitro mesangial cell proliferation [45]. Further studies are warranted to determine the mechanisms of Ibrolipim in the suppression of renal lipid accumulation and renal disease.…”
Section: Discussionmentioning
confidence: 99%
“…The underlying methodology of pharmacophore model was defined by different researchers [33]. Recently, this model was successfully applied in mesangial cell proliferation inhibitor discovery and virtual screening of potential ligands for many targets such as HIV integrase and CCR5 antagonist [34][35][36][37]. In 3D pharmacophore model, the molecular spatial features and volume constraints represent the intrinsic interactions of small bioactive ligands with protein receptors.…”
Section: Ligand-based Approachmentioning
confidence: 99%
“…HyPoGen was builded by three steps: Constructive phase, Subtractive phase, and Optimization phase [15], [16]. The confidence level of 95% was generated from 19 random spreadsheets by CatScramble program in each modeling run [11].…”
Section: B Pharmacophore Hypotheses Generation and Activity Predictionmentioning
confidence: 99%
“…For development potent inhibitors, 18 compounds from Lu's study were employed to build pharmacophore hypotheses [9], [10]. The predictive pharmacophores were generated by hypotheses generation (HypoGen) algorism, which could show common features of the 18 compounds and distances between each feature [11], [12]. The features and distances constructed pharmacophire map for database screening [13], [14].…”
Section: Introductionmentioning
confidence: 99%