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Electrostatic Interactions in Asymmetric Organocatalysis.

Rajat Maji1, Sharath Chandra Mallojjala1, Steven E Wheeler1

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Quantum chemistry computations reveal electrostatic interactions are key to controlling reactivity and stereoselectivity in asymmetric organocatalysis. These insights guide catalyst design for more efficient and selective chemical reactions.

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Area of Science:

  • Computational chemistry
  • Asymmetric organocatalysis
  • Quantum chemistry

Background:

  • Electrostatic interactions are crucial in catalytic systems, influencing reactivity and stereoselectivity.
  • Quantifying electrostatic effects in transition states (TS) has been challenging, limiting their application.
  • Advances in computation and quantum chemistry now enable detailed atomic-level analysis.

Purpose of the Study:

  • To elucidate the pivotal roles of electrostatic interactions in organizing TS structures.
  • To demonstrate how these interactions direct reactivity and selectivity in asymmetric organocatalysis.
  • To provide a foundation in electrostatics and computational approaches for understanding these effects.

Main Methods:

  • State-of-the-art quantum chemical computations.
  • Analysis of electrostatic interactions in transition state (TS) structures.
  • Investigation across chiral phosphoric acid (CPA), N-heterocyclic carbene (NHC), and silylium ion catalysis.

Main Results:

  • CPA-catalyzed reactions (epoxide ring openings, oxetane desymmetrizations, dihydroquinazolinone synthesis) are directed by electrostatic stabilization of TS.
  • NHC-catalyzed kinetic resolutions show electrostatic stabilization of protons as the common selectivity driver.
  • Silylium ion-catalyzed Diels-Alder reactions utilize electrostatic interactions to guide endo:exo selectivity.

Conclusions:

  • Electrostatic interactions are fundamental in organizing transition states for reactivity and selectivity in asymmetric organocatalysis.
  • Computational chemistry provides powerful tools to understand and exploit these interactions.
  • Further computational efforts can enable the design of novel catalysts and reactions.