Rationalization of a Streptavidin Based Enantioselective Artificial Suzukiase: An Integrative Computational Approach

Area of Science:

• Biochemistry
• Organic Chemistry
• Computational Chemistry

Background:

• Artificial metalloenzymes (ArMs) leverage streptavidin-biotin technology for asymmetric catalysis.
• Enantioselective synthesis of binaphthyls via Suzuki-Miyaura coupling using ArMs is established but poorly understood.
• Controlling enantioselectivity based on biotin length or streptavidin mutations remains a challenge.

Purpose of the Study:

• To rationalize the impact of biotin cofactor length and streptavidin mutations on enantioselectivity in ArM-catalyzed Suzuki-Miyaura reactions.
• To elucidate the structural and dynamic factors governing the preferential synthesis of specific atropisomers.
• To demonstrate the utility of integrated computational approaches in understanding ArM performance.

Main Methods:

• Density Functional Theory (DFT) calculations.
• Protein-ligand docking simulations.
• Molecular dynamics (MD) simulations.
• Integrated computational modeling approach.

Main Results:

• Computational models successfully rationalized experimentally observed enantiomeric differences.
• The disposition of the initial intermediate and substrate entry significantly influence enantioselectivity.
• Key interactions and conformational changes were identified that dictate stereochemical outcomes.
• The study highlights the challenges in fine-tuning ArMs for enantioselective Suzuki-Miyaura couplings.

Conclusions:

• The study provides a mechanistic understanding of enantioselection in engineered ArMs for Suzuki-Miyaura couplings.
• Integrated computational methods (DFT, docking, MD) are powerful tools for rationalizing and predicting ArM behavior.
• This work offers insights for the rational design of improved artificial metalloenzymes for asymmetric synthesis.