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Yanmin Zhang,
Haichun Liu,
Yu Jiao, Haoliang Yuan,
Fengxiao Wang,
Shuai Lu,
Sihui Yao,
Zhipeng Ke,
Wenting Tai,
Yulei Jiang,
Yadong Chen,
Tao Lu
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ABSTRACT: Vascular endothelial growth factor (VEGF) and its receptor tyrosine kinase VEGFR-2 or kinase insert domain receptor (KDR) have been identified as promising targets for novel anticancer agents. To achieve new potent inhibitors of KDR, we conducted molecular fragment replacement (MFR) studies for the understanding of 3D-QSAR modeling and the docking investigation of arylphthalazines and 2-((1H-Azol-1-yl)methyl)-N-arylbenzamides-based KDR inhibitors. Two favorable 3D-QSAR models (CoMFA with q (2), 0.671; r (2), 0.969; CoMSIA with q (2), 0.608; r (2), 0.936) have been developed to predict the biological activity of new compounds. The new molecular database generated by MFR was virtually screened using Glide (docking) and further evaluated with CoMFA prediction, protein-ligand interaction fingerprint (PLIF) and ADMET analysis. 44 N-(pyridin-4-ylmethyl)aniline derivatives as novel potential KDR inhibitors were finally obtained. In this paper, the work flow developed could be applied to de novo drug design and virtual screening potential KDR inhibitors, and use hit compounds to further optimize and design new potential KDR inhibitors.
Molecular Diversity 10/2012; · 3.15 Impact Factor
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ABSTRACT: β-Carboline family of compounds is a large group of alkaloids widely distributed in nature and exhibits broad-spectrum anti-tumor activities. We designed and synthesized two series of novel 1-carboxamide- and 6-sulfonamide-substituted β-carboline derivatives 7a-p and 12a-b, and their wild type B-Raf kinase inhibitory activities were described. Most compounds showed moderate to excellent inhibitory activities. Among them, 1-carboxamide-6-(N-(3-(dimethylamino)propyl)-sulfamoyl)-β-carboline, 7e exhibited potent activity (IC(50)=1.62 μM), showing the potential for further investigation as a lead compound.
Bioorganic & medicinal chemistry letters 05/2012; 22(14):4783-6. · 2.65 Impact Factor
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ABSTRACT: Mesenchymal epithelial transition factor (c-Met) is an attractive target for cancer therapy. Three-dimensional pharmacophore hypotheses were built based on a set of known structurally diverse c-Met inhibitors. The best pharmacophore model, which identified inhibitors with an associated correlation coefficient of 0.983 between their experimental and estimated IC(50) values, consisted of two hydrogen-bond acceptors, one hydrophobic, and one ring aromatic feature. The highly predictive power of the model was rigorously validated by test set prediction and Fischer's randomization method. The high values of enrichment factor and receiver operating characteristic (ROC) score indicated the model performed fairly well at distinguishing active from inactive compounds. The model was then applied to screen compound database for potential c-Met inhibitors. A filtering protocol, including druggability and molecular docking, were also applied in hits selection. The final 38 molecules, which exhibited good estimated activities, desired binding mode and favorable drug likeness were identified as potential c-Met inhibitors. Their novel backbone structures could be served as scaffolds for further study, which may facilitate the discovery and rational design of potent c-Met kinase inhibitors.
Journal of Molecular Modeling 12/2011; 18(7):3087-100. · 1.80 Impact Factor
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ABSTRACT: The phosphatidylinositol-3-kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway plays a critical role in the regulation of cellular growth, survival and proliferation. mTOR and PI3K have attracted particular attention as cancer targets. These kinases belong to the phosphatidylinositol-3-kinase-related kinase (PIKK) family and therefore have considerable homology in their active sites. To accelerate the discovery of inhibitors with selective activity against mTOR and PI3K as cancer targets, in this work, a homology model of mTOR was developed to identify the structural divergence in the active sites between mTOR and PI3Kα. Furthermore, two highly predictive comparative molecular similarity index analyses (CoMSIA) models were built based on 304 selective inhibitors docked into mTOR and PI3Kα, respectively (mTOR: q(2) = 0.658, r(pre)(2) = 0.839; PI3Kα: q(2) = 0.540, r(pre)(2) = 0.719). The results showed that steric and electrostatic fields have an important influence on selectivity towards mTOR and PI3Kα-a finding consistent with the structural divergence between the active sites. The findings may be helpful in investigating selective mTOR/PI3Kα inhibitors.
Journal of Molecular Modeling 04/2011; 18(1):171-86. · 1.80 Impact Factor
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ABSTRACT: Fragment-based drug design (FBDD) is considered a promising approach in lead discovery. However, for a practical application of this approach, problems remain to be solved. Hence, a novel practical strategy for three-dimensional lead discovery is presented in this work. Diverse fragments with spatial positions and orientations retained in separately adjacent regions were generated by deconstructing well-aligned known inhibitors in the same target active site. These three-dimensional fragments retained their original binding modes in the process of new molecule construction by fragment linking and merging. Root-mean-square deviation (rmsd) values were used to evaluate the conformational changes of the component fragments in the final compounds and to identify the potential leads as the main criteria. Furthermore, the successful validation of our strategy is presented on the basis of two relevant tumor targets (CDK2 and c-Met), demonstrating the potential of our strategy to facilitate lead discovery against some drug targets.
Journal of Chemical Information and Modeling 03/2011; 51(4):959-74. · 4.68 Impact Factor
