Literature DB >> 15670918

Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors.

Xin Hu1, C Erec Stebbins.   

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.

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Year:  2005        PMID: 15670918     DOI: 10.1016/j.bmc.2004.11.026

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  6 in total

1.  Effect of steric molecular field settings on CoMFA predictivity.

Authors:  Ruchi R Mittal; Ross A McKinnon; Michael J Sorich
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

2.  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.

Authors:  Rino Ragno
Journal:  J Comput Aided Mol Des       Date:  2019-10-08       Impact factor: 3.686

3.  Inhibitors of the Yersinia protein tyrosine phosphatase through high throughput and virtual screening approaches.

Authors:  Xin Hu; Milos Vujanac; Noel Southall; C Erec Stebbins
Journal:  Bioorg Med Chem Lett       Date:  2012-12-20       Impact factor: 2.823

4.  Derivatives of salicylic acid as inhibitors of YopH in Yersinia pestis.

Authors:  Zunnan Huang; Yantao He; Xian Zhang; Andrea Gunawan; Li Wu; Zhong-Yin Zhang; Chung F Wong
Journal:  Chem Biol Drug Des       Date:  2010-06-18       Impact factor: 2.817

5.  Docking of sialic acid analogues against influenza A hemagglutinin: a correlational study between experimentally measured and computationally estimated affinities.

Authors:  Mohammed Noor Al-qattan; Mohd Nizam Mordi
Journal:  J Mol Model       Date:  2009-11-13       Impact factor: 1.810

6.  Cell transfection of purified cytolethal distending toxin B subunits allows comparing their nuclease activity while plasmid degradation assay does not.

Authors:  Benoît J Pons; Elisabeth Bezine; Mélissa Hanique; Valérie Guillet; Lionel Mourey; Johana Chicher; Teresa Frisan; Julien Vignard; Gladys Mirey
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

  6 in total

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