syringaldazine and 2-6-dichloro-4-nitrophenol

A Structure Activity Relationship (SAR) study for laccase mediator systems was performed in order to correctly classify different natural phenolic mediators. Decision tree (DT) classification models with a set of five quantum-chemical calculated molecular descriptors were used. These descriptors included redox potential (ɛ°), ionization energy (E(i)), pK(a), enthalpy of formation of radical (Δ(f)H), and OH bond dissociation energy (D(O-H)). The rationale for selecting these descriptors is derived from the laccase-mediator mechanism. To validate the DT predictions, the kinetic constants of different compounds as laccase substrates, their ability for pesticide transformation as laccase-mediators, and radical stability were experimentally determined using Coriolopsis gallica laccase and the pesticide dichlorophen. The prediction capability of the DT model based on three proposed descriptors showed a complete agreement with the obtained experimental results.

Topics: Acetophenones; Benzaldehydes; Biocatalysis; Catechols; Coumaric Acids; Decision Trees; Dichlorophen; Fungal Proteins; Hydrazones; Laccase; Models, Chemical; Models, Molecular; Molecular Structure; Nitrophenols; Oxidation-Reduction; Phenols; Polyporales; Protein Conformation; Quantitative Structure-Activity Relationship; Vanillic Acid