Bioinformatics and Biology Insights (Nov 2017)

Computational Model of the Effect of a Surface-Binding Site on the R64 α-Amylase to the Substrate Adsorption

  • *Muhammad Yusuf,
  • *Umi Baroroh,
  • Khomaini Hasan,
  • Saadah Diana Rachman,
  • Safri Ishmayana,
  • Toto Subroto

DOI
https://doi.org/10.1177/1177932217738764
Journal volume & issue
Vol. 11

Abstract

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α-Amylase is one of the important enzymes in the starch-processing industry. However, starch processing requires high temperature, thus resulting in high cost. The high adsorptivity of α-amylase to the substrate allows this enzyme to digest the starch at a lower temperature. α-Amylase from Saccharomycopsis fibuligera R64 (Sfamy R64), a locally sourced enzyme from Indonesia, has a high amylolytic activity but low starch adsorptivity. The objective of this study was to design a computational model of Sfamy R64 with increased starch adsorptivity using bioinformatics method. The model structure of Sfamy R64 was compared with the positive control, ie, Aspergillus niger α-amylase. The structural comparison showed that Sfamy R64 lacks the surface-binding site (SBS). An SBS was introduced to the structure of Sfamy R64 by S383Y/S386W mutations. The dynamics and binding affinity of the SBS of mutant to the substrate were also improved and comparable with that of the positive control.