Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors
- PMID: 15670918
- DOI: 10.1016/j.bmc.2004.11.026
Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors
Abstract
Three-dimensional quantitative structure-activity relationship (QSAR) studies were conducted on two classes of recently explored compounds with known YopH inhibitory activities. Docking studies were employed to position the inhibitors into the YopH active site to determine the probable binding conformation. Good correlations between the predicated binding free energies and the inhibitory activities were found for two subsets of phosphate mimetics: alpha-ketocarboxylic acid and squaric acid (R2=0.70 and 0.68, respectively). The docking results also provided a reliable conformational alignment scheme for 3D-QSAR modeling. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed based on the docking conformations, giving q2 of 0.734 and 0.754 for CoMFA and CoMSIA models, respectively. The 3D-QSAR models were significantly improved after removal of an outlier (q2=0.829 for CoMFA and q2=0.837 for CoMSIA). The predictive ability of the models was validated using a set of compounds that were not included in the training set. Mapping the 3D-QSAR models to the active site of YopH provides new insight into the protein-inhibitor interactions for this enzyme. These results should be applicable to the prediction of the activities of new YopH inhibitors, as well as providing structural implications for designing potent and selective YopH inhibitors as antiplague agents.
Similar articles
-
3D QSAR studies on protein tyrosine phosphatase 1B inhibitors: comparison of the quality and predictivity among 3D QSAR models obtained from different conformer-based alignments.J Chem Inf Model. 2006 Nov-Dec;46(6):2579-90. doi: 10.1021/ci600224n. J Chem Inf Model. 2006. PMID: 17125198
-
3D-QSAR and docking studies of aldehyde inhibitors of human cathepsin K.Bioorg Med Chem. 2006 Apr 15;14(8):2771-8. doi: 10.1016/j.bmc.2005.11.061. Epub 2005 Dec 27. Bioorg Med Chem. 2006. PMID: 16377193
-
A combined approach of docking and 3D QSAR study of beta-ketoacyl-acyl carrier protein synthase III (FabH) inhibitors.Bioorg Med Chem. 2006 Mar 1;14(5):1474-82. doi: 10.1016/j.bmc.2005.10.001. Epub 2005 Nov 4. Bioorg Med Chem. 2006. PMID: 16275103
-
QSAR, docking, and CoMFA studies of GSK3 inhibitors.Curr Pharm Des. 2010;16(24):2666-75. doi: 10.2174/138161210792389225. Curr Pharm Des. 2010. PMID: 20642432 Review.
-
Current trends in quantitative structure activity relationships on FXa inhibitors: evaluation and comparative analysis.Med Res Rev. 2004 Nov;24(6):687-747. doi: 10.1002/med.20006. Med Res Rev. 2004. PMID: 15250038 Review.
Cited by
-
Derivatives of salicylic acid as inhibitors of YopH in Yersinia pestis.Chem Biol Drug Des. 2010 Aug;76(2):85-99. doi: 10.1111/j.1747-0285.2010.00996.x. Epub 2010 Jun 18. Chem Biol Drug Des. 2010. PMID: 20560978 Free PMC article.
-
Effect of steric molecular field settings on CoMFA predictivity.J Mol Model. 2008 Jan;14(1):59-67. doi: 10.1007/s00894-007-0252-1. Epub 2007 Nov 24. J Mol Model. 2008. PMID: 18038162
-
www.3d-qsar.com: a web portal that brings 3-D QSAR to all electronic devices-the Py-CoMFA web application as tool to build models from pre-aligned datasets.J Comput Aided Mol Des. 2019 Sep;33(9):855-864. doi: 10.1007/s10822-019-00231-x. Epub 2019 Oct 8. J Comput Aided Mol Des. 2019. PMID: 31595406
-
Docking of sialic acid analogues against influenza A hemagglutinin: a correlational study between experimentally measured and computationally estimated affinities.J Mol Model. 2010 May;16(5):1047-58. doi: 10.1007/s00894-009-0618-7. Epub 2009 Nov 13. J Mol Model. 2010. PMID: 19911202
-
Inhibitors of the Yersinia protein tyrosine phosphatase through high throughput and virtual screening approaches.Bioorg Med Chem Lett. 2013 Feb 15;23(4):1056-62. doi: 10.1016/j.bmcl.2012.12.018. Epub 2012 Dec 20. Bioorg Med Chem Lett. 2013. PMID: 23294700 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources