Structure Identification and Quality Assessment of Laccase (Lac InaCC) from Neurospora crassa by Using a Structure Prediction

  • Rini Kurniasih Department of Biochemistry, Bogor Agricultural University, Bogor
  • Laksmi Ambarsari Department of Biochemistry, Bogor Agricultural University, Bogor
  • Setyanto Tri Wahyudi Department of Physics, Bogor Agricultural University, Bogor

Abstract

Laccases are multi-copper oxidase enzyme, developed for being applied widely. The laccase gene in this study was isolated from local isolates of Neurospora crassa (LAC inaCC). The structure of this enzyme has not been known and there is no laccase structure of Neurospora crassa based on protein structure development in database. Here, we aimed to analyze the characteristics of the sequence and prediction structure, the structure quality after refinement through the molecular dynamics (MD) simulation method. LAC inaCC has been identified with typical sequence motifs (HWH, HSH, HXXH) which played role in copper-binding on 274(HWH)G-DG-T-CP on CBL-1, 314GT-WY(HSH)FS-QYG-G on CBL-2, and 607HPIHL on CBL-3. The four copper atoms have an important role in the catalytic activity. LAC inaCC is a multi-subunit enzyme consisted of three functional domains with structural motifs of Greek-key β barrel which is typical structure motif. Refinement in the prediction structure through the MD simulation showed that this method was proven to be able to improve the structure quality. The increase on the most favoured area on Ramachandran plot, clashcore percentile score, and molprobity score showed that the laccase structure headed to conformation change, to be more stable conformation with better resolution compared to earlier prediction structure.

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Published
2021-01-01
How to Cite
KurniasihR., AmbarsariL., & WahyudiS. T. (2021). Structure Identification and Quality Assessment of Laccase (Lac InaCC) from Neurospora crassa by Using a Structure Prediction. HAYATI Journal of Biosciences, 28(1), 1. https://doi.org/10.4308/hjb.28.1.1