Literature DB >> 8478900

Mechanistic interpretation of the genotoxicity of nitrofurans (antibacterial agents) using quantitative structure-activity relationships and comparative molecular field analysis.

A K Debnath1, C Hansch, K H Kim, Y C Martin.   

Abstract

Quantitative structure-activity relationship (QSAR) and comparative molecular field analysis (CoMFA) have been applied to elucidate the mechanisms of genotoxicity (SOSIP) of nitrofuran derivatives on Escherichia coli PQ37. The following equation was developed: log SOSIP = -33.1qc2 + 1.00 log P - 1.50Isat - 1.19MR - 0.76I5,6 - 3.76; n = 40, r = 0.900, s = 0.475. The QSAR model clearly reveals three important factors, namely, electronic (qc2), hydrophobic (log P) and steric (MR, Isat, I5,6) contributing toward the genotoxic activity of this class of compounds. qc2, the charge on the c2 atom attached to the NO2 group, supports a furan ring opening mechanism in explaining the genotoxicity. The finding of the coefficient of 1 with log P conforms to our previous findings with several different classes of mutagens acting on different systems. CoMFA analysis clearly demonstrates its potential in unraveling the steric features of the molecules through contour maps. The CoMFA cross-validated model also supports the importance of the electronic factor. It could not reveal any hydrophobic influence because the interaction energies of the CH3 and H2O probes are collinear. QSAR (classical) and CoMFA, if used judiciously, may complement each other and enhance the applicability of SAR in drug design.

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Year:  1993        PMID: 8478900     DOI: 10.1021/jm00060a008

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


  5 in total

1.  Replacement of steric 6-12 potential-derived interaction energies by atom-based indicator variables in CoMFA leads to models of higher consistency.

Authors:  R T Kroemer; P Hecht
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

2.  A new procedure for improving the predictiveness of CoMFA models and its application to a set of dihydrofolate reductase inhibitors.

Authors:  R T Kroemer; P Hecht
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

3.  Calculation of hydrophobic parameters directly from three-dimensional structures using comparative molecular field analysis.

Authors:  K H Kim
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

4.  Quantitative structure-activity relationships from optimised ab initio bond lengths: steroid binding affinity and antibacterial activity of nitrofuran derivatives.

Authors:  P J Smith; P L A Popelier
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

5.  Crystal structure of 7-bromo-2-(3-fluoro-phen-yl)-1-(methyl-sulfin-yl)naphtho[2,1-b]furan.

Authors:  Hong Dae Choi; Uk Lee
Journal:  Acta Crystallogr Sect E Struct Rep Online       Date:  2014-08-13
  5 in total

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