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Experimental and computational study reveals efficient decolorization of azo dyes by Bacillus cereus and favorable azoreductase binding, highlighting potential for industrial effluent purification.
Understanding the potential mechanisms of bacterial azo dye decolorization remains a challenge due to a limited understanding of the exact stereochemical forces guiding enzyme–substrate interactions. This study addresses these interactions by evaluating the in silico binding architectures of Orange G (OG) and Congo Red (CR) against the Bacillus-derived azoreductase model AzrA (PDB ID: 3W77). Computational modeling predicted favorable thermodynamic properties within the calculated active site, yielding binding energy scores of −8.17 kcal/mol for CR and −6.63 kcal/mol for OG. These simulations identified hydrogen-bonding and aromatic π-π interactions within the predicted binding pocket. These predictions suggest potential enzyme–dye association but do not demonstrate catalytic activity or azo-bond cleavage. Independently, Bacillus cereus BC WW Saida achieved an 81% decolorization of OG within 144 h and a 70% reduction in CR within 96 h. High-performance liquid chromatography (HPLC) indicated chemical transformation, demonstrating a significant decrease in primary dye peaks alongside the emergence of novel intermediate peaks at 254 nm. Rather than definitively establishing a metabolic pathway, these outcomes deliver preliminary structural models of azoreductase-substrate affinities, offering a useful framework for the comparative evaluation of microbial catalysts for industrial effluent purification.
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Hamadeh et al. (2026) studied this question.
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