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Updated: Jan 22, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Mechanistic interpretation of the genotoxicity of nitrofurans (antibacterial agents) using quantitative
A K Debnath1, C Hansch, K H Kim
1Department of Chemistry, Pomona College, Claremont, California 91711.
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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