Literature DB >> 11170625

Synthesis and comparative molecular field analysis (CoMFA) of symmetric and nonsymmetric cyclic sulfamide HIV-1 protease inhibitors.

W Schaal1, A Karlsson, G Ahlsén, J Lindberg, H O Andersson, U H Danielson, B Classon, T Unge, B Samuelsson, J Hultén, A Hallberg, A Karlén.   

Abstract

We have previously reported on the unexpected flipped conformation in the cyclic sulfamide class of inhibitors. An attempt to induce a symmetric binding conformation by introducing P2/P2' substituents foreseen to bind preferentially in the S2/S2' subsite was unsuccessful. On the basis of the flipped conformation we anticipated that nonsymmetric sulfamide inhibitors, with P2/P2' side chains modified individually for the S1' and S2 subsites, should be more potent than the corresponding symmetric analogues. To test this hypothesis, a set of 18 cyclic sulfamide inhibitors (11 nonsymmetric and 7 symmetric) with different P2/P2' substituents was prepared and evaluated in an enzyme assay. To rationalize the structure-activity relationship (SAR) and enable the alignment of the nonsymmetric inhibitors, i.e., which of the P2/P2' substituents of the nonsymmetric inhibitors interact with which subsite, a CoMFA study was performed. The CoMFA model, constructed from the 18 inhibitors in this study along with seven inhibitors from previous work by our group, has successfully been used to rationalize the SAR of the cyclic sulfamide inhibitors. Furthermore, from the information presented herein, the SAR of the cyclic sulfamide class of inhibitors seems to differ from the SAR of the related cyclic urea inhibitors reported by DuPont and DuPont-Merck.

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Year:  2001        PMID: 11170625     DOI: 10.1021/jm001024j

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  17 in total

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2.  Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis.

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Journal:  J Comput Aided Mol Des       Date:  2008-02-27       Impact factor: 3.686

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Journal:  J Mol Model       Date:  2005-02-16       Impact factor: 1.810

4.  Molecular docking and 3D-QSAR studies of HIV-1 protease inhibitors.

Authors:  Vijay M Khedkar; Premlata K Ambre; Jitender Verma; Mushtaque S Shaikh; Raghuvir R S Pissurlenkar; Evans C Coutinho
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5.  Exploring structural variability in X-ray crystallographic models using protein local optimization by torsion-angle sampling.

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6.  Multiple receptor conformation docking and dock pose clustering as tool for CoMFA and CoMSIA analysis - a case study on HIV-1 protease inhibitors.

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Journal:  J Mol Model       Date:  2011-05-06       Impact factor: 1.810

7.  Exploring conformational search protocols for ligand-based virtual screening and 3-D QSAR modeling.

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8.  Pharmacophore modeling using site-identification by ligand competitive saturation (SILCS) with multiple probe molecules.

Authors:  Wenbo Yu; Sirish Kaushik Lakkaraju; E Prabhu Raman; Lei Fang; Alexander D MacKerell
Journal:  J Chem Inf Model       Date:  2015-02-06       Impact factor: 4.956

9.  Can cyclic HIV protease inhibitors bind in a non-preferred form? An ab initio, DFT and MM-PB(GB)SA study.

Authors:  Daniel P Oehme; Robert T C Brownlee; David J D Wilson
Journal:  J Mol Model       Date:  2012-11-13       Impact factor: 1.810

10.  Correlation between the predicted and the observed biological activity of the symmetric and nonsymmetric cyclic urea derivatives used as HIV-1 protease inhibitors. A 3D-QSAR-CoMFA method for new antiviral drug design.

Authors:  Speranta Avram; I Svab; C Bologa; Maria-Luiza Flonta
Journal:  J Cell Mol Med       Date:  2003 Jul-Sep       Impact factor: 5.310

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