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Directed evolution (DE) succeeds where computational design fails for enzymes. Our study reveals DE alters the enzyme's electric field, enabling efficient carbene transfer by influencing reaction mechanisms.

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Area of Science:

  • Biochemistry
  • Protein Engineering
  • Computational Biology

Background:

  • Computational enzyme design often struggles to create functional enzymes, contrasting with the success of laboratory directed evolution (DE).
  • Directed evolution has successfully adapted protoglobin to catalyze carbene transfer reactions, but the precise mechanisms remain unclear.
  • Previous explanations focused on substrate access and binding, which alone do not fully explain yield increases.

Purpose of the Study:

  • To elucidate the molecular mechanisms underlying the success of directed evolution in enzyme engineering.
  • To investigate the role of the active site's 3D electric field in enzyme function and adaptation.
  • To compare the effectiveness of computational design versus directed evolution in creating functional enzymes.

Main Methods:

  • Laboratory evolution of protoglobin for carbene transfer catalysis.
  • Tracking and analysis of the 3D electric field dynamics within the enzyme's active site.
  • Application of affinity propagation clustering and principal component analysis to electric field data.

Main Results:

  • Directed evolution significantly altered the electric field topology within the protoglobin active site.
  • Specific electric field configurations were identified that enhance transition state energetics and influence reaction mechanisms.
  • A key chemically meaningful electric field component emerged during DE, facilitating carbene transfer.

Conclusions:

  • The dynamic 3D electric field is a critical determinant of enzyme function and catalytic efficiency.
  • Enzyme active sites can switch catalytic mechanisms, influenced by electric field dynamics.
  • Understanding and manipulating electric fields is crucial for successful enzyme design and engineering.