Literature DB >> 18575902

DFT and GA studies on the QSAR of 2-aryl-5-nitro-1H-indole derivatives as NorA efflux pump inhibitors.

Yujie Dai1, Xu Zhang, Xiuli Zhang, Huanjie Wang, Zhansheng Lu.   

Abstract

The structures of 2-aryl-5-nitro-1H-indole derivatives were optimized with PM3 and DFT at b3lyp/6-31 g* level successively. Some structural and electric descriptors were obtained from the single point energy calculation and natural bond orbital analysis at the level of b3lyp/6-31 g*. As efflux pump inhibitors, a QSAR model was built with genetic algrithum (GA) and partial least square (PLS) analyses. The high R(2) and R(2)CV indicates the derived model has a good predictive power which can be used in prediction of activity for new 2-aryl-5-nitro-1H-indole derivatives. This model gives us a revelation that the activity of 2-aryl-5-nitro-1H-indole derivatives as efflux pump inhibitor can be improved by properly increasing the molecular volume and Mulliken atomic charge of C(3)(Q(C3)) or lowering the dipole and Mulliken atomic charge of C(4)(Q(C4)) in 2-aryl and it was found from this article that a QSAR relationship can be built for small samples with large descriptors by compressing the descriptors with GA and analyzing with PLS. With this model, a new compound, 2-(2-Azidomethyl-5-phenoxy-phenyl)-5-nitro-1H-indole was predicted to lower the MIC of berberine to 0.091 microg/mL for inhibiting K2361 of S. aureus with NorA efflux pump protein over expression. Figure: Basic structure of 2-aryl-5-nitro-1H-indoles.

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Year:  2008        PMID: 18575902     DOI: 10.1007/s00894-008-0328-6

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  8 in total

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4.  Synthesis of functionalized 2-aryl-5-nitro-1H-indoles and their activity as bacterial NorA efflux pump inhibitors.

Authors:  Siritron Samosorn; John B Bremner; Anthony Ball; Kim Lewis
Journal:  Bioorg Med Chem       Date:  2005-10-03       Impact factor: 3.641

5.  Evolutionary optimization in quantitative structure-activity relationship: an application of genetic neural networks.

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Journal:  J Med Chem       Date:  1996-03-29       Impact factor: 7.446

6.  Multiple novel inhibitors of the NorA multidrug transporter of Staphylococcus aureus.

Authors:  P N Markham; E Westhaus; K Klyachko; M E Johnson; A A Neyfakh
Journal:  Antimicrob Agents Chemother       Date:  1999-10       Impact factor: 5.191

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Journal:  Bioorg Med Chem       Date:  2004-12-01       Impact factor: 3.641

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Journal:  Bioorg Med Chem       Date:  2004-01-02       Impact factor: 3.641

  8 in total
  2 in total

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2.  Microbial efflux systems and inhibitors: approaches to drug discovery and the challenge of clinical implementation.

Authors:  Christina Kourtesi; Anthony R Ball; Ying-Ying Huang; Sanjay M Jachak; D Mariano A Vera; Proma Khondkar; Simon Gibbons; Michael R Hamblin; George P Tegos
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  2 in total

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