Structural exploration of PPARγ modulators through pharmacophore mapping, fragment-based design, docking, and molecular dynamics simulation analyses

作者: Ashis Nandy , Kunal Roy , Achintya Saha

DOI: 10.1007/S00044-016-1727-3

关键词: PharmacophoreDocking (molecular)ChemistryReceptorMolecular dynamicsLigandMoleculePeroxisomeStereochemistryIndole test

摘要: Peroxisome proliferator-activated gamma receptor is an attractive therapeutic target involving various types of metabolic syndrome. Viewing the importance peroxisome modulators, ligand and energetically optimized pharmacophores (e-pharmacophore), hologram-based quantitative structural activity relationships, classification-based Bayesian models were developed, followed by molecular docking, mechanics, dynamic analyses to search for essential requirements in molecules potent selective modulation. Both e-pharmacophore suggest that aromatic ring feature plays crucial role, whereas relationships study indicates phenyl indole rings are scafolds imparting Further, model, dynamics studies depict a carboxyl group modulating agonistic through generating strong H-bonds with active amino acid residues (His323, Tyr327, His449, Tyr473, etc). The multi chemometrics modeling provide some insight into prime features responsible significant property ligands.

参考文章(45)
A. Nandy, K. Roy, A. Saha, Exploring molecular fingerprints of selective PPARδ agonists through comparative and validated chemometric techniques. Sar and Qsar in Environmental Research. ,vol. 26, pp. 363- 382 ,(2015) , 10.1080/1062936X.2015.1039576
C. James Klett, John Ernest Overall, Applied multivariate analysis ,(1983)
Anupama Mittal, Sarvesh Paliwal, Mukta Sharma, Aarti Singh, Swapnil Sharma, Divya Yadav, None, Pharmacophore based virtual screening, molecular docking and biological evaluation to identify novel PDE5 inhibitors with vasodilatory activity. Bioorganic & Medicinal Chemistry Letters. ,vol. 24, pp. 3137- 3141 ,(2014) , 10.1016/J.BMCL.2014.05.004
Mikko Ylilauri, Olli T. Pentikäinen, MMGBSA as a tool to understand the binding affinities of filamin-peptide interactions. Journal of Chemical Information and Modeling. ,vol. 53, pp. 2626- 2633 ,(2013) , 10.1021/CI4002475
Dan Jones, Potential remains for PPAR-targeted drugs Nature Reviews Drug Discovery. ,vol. 9, pp. 668- 669 ,(2010) , 10.1038/NRD3271
Jia Fei, Lu Zhou, Tao Liu, Xiang-Yang Tang, Pharmacophore modeling, virtual screening, and molecular docking studies for discovery of novel Akt2 inhibitors. International Journal of Medical Sciences. ,vol. 10, pp. 265- 275 ,(2013) , 10.7150/IJMS.5344
Steven L. Dixon, Alexander M. Smondyrev, Eric H. Knoll, Shashidhar N. Rao, David E. Shaw, Richard A. Friesner, PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results Journal of Computer-aided Molecular Design. ,vol. 20, pp. 647- 671 ,(2006) , 10.1007/S10822-006-9087-6
Yu-Chung Chuang, Ching-Hsun Chang, Jen-Tai Lin, Chia-Ning Yang, Molecular modelling studies of sirtuin 2 inhibitors using three-dimensional structure–activity relationship analysis and molecular dynamics simulations Molecular BioSystems. ,vol. 11, pp. 723- 733 ,(2015) , 10.1039/C4MB00620H