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Comparative modeling and molecular docking analysis of white,brown and soft rot fungal laccases using lignin model compounds for understanding the structural and functional properties of laccases
Affiliation:1. Department of Biochemistry, Shivaji University, Kolhapur 416004, India;2. Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Palacky University Olomouc, 17. Listopadu 12, Olomouc 77146, Czech Republic;3. Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, 04763, South Korea
Abstract:Extrinsic catalytic properties of laccase enable it to oxidize a wide range of aromatic (phenolic and non-phenolic) compounds which makes it commercially an important enzyme. In this study, we have extensively compared and analyzed the physico-chemical, structural and functional properties of white, brown and soft rot fungal laccases using standard protein analysis software. We have computationally predicted the three-dimensional comparative models of these laccases and later performed the molecular docking studies using the lignin model compounds. We also report a customizable rapid and reliable protein modelling and docking pipeline for developing structurally and functionally stable protein structures. We have observed that soft rot fungal laccases exhibited comparatively higher structural variation (higher random coil) when compared to brown and white rot fungal laccases. White and brown rot fungal laccase sequences exhibited higher similarity for conserved domains of Trametes versicolor laccase, whereas soft rot fungal laccases shared higher similarity towards conserved domains of Melanocarpus albomyces laccase. Results obtained from molecular docking studies showed that aminoacids PRO, PHE, LEU, LYS and GLN were commonly found to interact with the ligands. We have also observed that white and brown rot fungal laccases showed similar docking patterns (topologically monomer, dimer and trimer bind at same pocket location and tetramer binds at another pocket location) when compared to soft rot fungal laccases. Finally, the binding efficiencies of white and brown rot fungal laccases with lignin model compounds were higher compared to the soft rot fungi. These findings can be further applied in developing genetically efficient laccases which can be applied in growing biofuel and bioremediation industries.
Keywords:Multicopper oxidase  Laccases  White rot  Brown rot  Soft rot fungi  Homology modeling  Molecular docking
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