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Computer-Based Design to Improve Bacillus thuringiensis Chitinase for Industrial Applications.

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Computational mutagenesis enhanced chitinase, an enzyme crucial for converting seashell waste into valuable biopolymers. The G291A mutation significantly boosted catalytic efficiency, paving the way for improved industrial biotechnology applications.

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Area of Science:

  • Biotechnology
  • Enzyme Engineering
  • Biopolymer Chemistry

Background:

  • Chitin is a key biopolymer derived from seashell waste.
  • Enzymatic bioconversion using chitinase is an eco-friendly extraction method.
  • Limited strategies exist to improve chitinase catalytic performance.

Purpose of the Study:

  • To enhance chitinase activity and stability using in silico site-directed mutagenesis.
  • To identify specific mutations that improve substrate affinity and catalytic efficiency.
  • To explore computational approaches for rational enzyme engineering.

Main Methods:

  • In silico site-directed mutagenesis was performed on the chitinase catalytic domain.
  • High mutability scores and functional relevance guided mutation site selection.
  • Molecular orbital analysis and interaction analyses were used to evaluate mutant properties.

Main Results:

  • Six hotspot mutations (V215A, V215F, S262G, R264H, F288L, G291A) were identified.
  • Beneficial mutants showed increased substrate affinity compared to the native enzyme.
  • The G291A mutant exhibited a reduced activation energy (49.53 kcal/mol vs. 97 kcal/mol), indicating enhanced catalytic efficiency.

Conclusions:

  • Computationally guided mutagenesis is a viable strategy for optimizing chitinase.
  • The G291A mutation significantly improves chitinase catalytic performance.
  • This research advances enzyme engineering for industrial bioconversion applications.