3D structure prediction of lignolytic enzymes lignin peroxidase and manganese peroxidase based on homology modelling

dc.contributor.authorKale, Swapnil K.
dc.contributor.authorDeshmukh, Amit G.
dc.date.accessioned2024-05-29T19:07:20Z
dc.date.available2024-05-29T19:07:20Z
dc.date.issued2015-11-27
dc.description.abstractLignolytic enzymes have great biotechnological value in biopulping, biobleaching, and bioremediation. Manganese peroxidase (EC 1:11:1:13) and lignin peroxidase (EC 1:11:1:14) are extracellular and hem-containing peroxidases that catalyze H2O2-dependent oxidation of lignin. Because of their ability to catalyse oxidation of a wide range of organic compounds and even some inorganic compounds, they got tremendous industrial importance. In this study, 3D structure of lignin and manganese peroxidase has been predicted on the basis of homology modeling using Swiss PDB workspace. The physicochemical properties like molecular weight, isoelectric point, Grand average of hydropathy, instability and aliphatic index of the target enzymes were performed using Protparam. The predicted secondary structure of MnP has 18 helices and 6 strands, while LiP has 20 helices and 4 strands. Generated 3D structure was visualized in Pymol. The generated model for MnP and LiP has Z-score Qmean of 0.01 and -0.71, respectively. The predicted models were validated through Ramachandran Plot, which indicated that 96.1 and 95.5% of the residues are in most favored regions for MnP and LiP respectively. The quality of predicted models were assessed and confirmed by VERIFY 3D, PROCHECK and ERRAT. The modeled structure of MnP and LiP were submitted to the Protein Model Database.
dc.identifier.issn1314-6246
dc.identifier.urihttps://doi.uni-plovdiv.bg/handle/store/154
dc.language.isoen
dc.publisherPlovdiv University Press “Paisii Hilendarski”
dc.subject3D structure
dc.subjecthomology
dc.subjectlignin peroxidases
dc.subjectmanganese peroxidases
dc.title3D structure prediction of lignolytic enzymes lignin peroxidase and manganese peroxidase based on homology modelling
dc.typeArticle
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