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Cyanide Hydratase Modification Using Computational Design and Docking Analysis for Improved Binding Affinity in

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Summary

Researchers computationally designed a mutant cyanide hydratase (mCHT) enzyme to improve cyanide degradation. This engineered enzyme shows enhanced activity and stability, offering a promising solution for hazardous cyanide detoxification.

Keywords:
Trichoderma harzianumcyanidecyanide hydratase (CHT)docking analysismutationprotein engineering

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Area of Science:

  • Biochemistry
  • Enzyme Engineering
  • Computational Biology

Background:

  • Cyanide is a highly toxic chemical that inhibits cellular respiration by inactivating cytochrome c oxidase.
  • Existing cyanide-degrading enzymes have limitations, necessitating the development of novel enzymes with enhanced functionality.
  • The enzyme cyanide hydratase (CHT) plays a role in cyanide detoxification, but its efficiency can be improved.

Purpose of the Study:

  • To computationally design a mutant cyanide hydratase (mCHT) with improved cyanide degradation activity.
  • To enhance the active site of CHT from *Trichoderma harzianum* using protein design approaches.
  • To evaluate the performance of the designed mCHT compared to the wild-type CHT.

Main Methods:

  • Protein homology modeling was used to predict the 3D structure of CHT.
  • Computational protein design focused on targeted mutations to create mCHT.
  • Molecular docking simulations were performed to assess the binding affinity of cyanide to both CHT and mCHT.
  • Molecular dynamic simulations were conducted to evaluate the stability of the protein-ligand complex.

Main Results:

  • The catalytic triad (Cys-Glu-Lys) was conserved in the wild-type CHT.
  • Induced mutations significantly improved the MolDock score from -18.1752 to -23.8575, indicating enhanced cyanide binding.
  • The total charge of the protein increased, and molecular dynamics simulations confirmed a stable mCHT-cyanide complex.
  • The engineered mCHT demonstrated enhanced potential for cyanide degradation.

Conclusions:

  • Computational protein design is effective for enhancing enzyme activity and accelerating enzymatic processes.
  • The designed mCHT exhibits improved stability and cyanide binding affinity compared to wild-type CHT.
  • This study provides a foundation for developing more efficient cyanide detoxification strategies using engineered enzymes.