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Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain
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Theoretical study on ligand conformational self-adaptation for modulating reactivity.

Chunhui Shan1, Xiong Liu2, Xiaoling Luo2

  • 1College of Chemistry, Chongqing Normal University, Chongqing, 401331, China. chunhui.shan@cqnu.edu.cn.

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|October 14, 2024
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Josiphos-palladium catalysts enable efficient bicyclization/carbonylation. Density functional theory (DFT) reveals a unique alkene insertion mechanism and ligand self-adaptation are key to high enantioselectivity in this process.

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Area of Science:

  • Organometallic Chemistry
  • Catalysis
  • Computational Chemistry

Background:

  • Palladium (Pd) catalysts with Josiphos-type ligands are crucial for efficient catalytic processes.
  • Understanding reaction mechanisms is key to optimizing selectivity and reactivity.

Purpose of the Study:

  • To elucidate the reaction mechanisms and dynamic conformational changes in Pd-catalyzed bicyclization/carbonylation of 1,6-enynes.
  • To investigate the role of Josiphos-Pd ligand conformations in reactivity and enantioselectivity.

Main Methods:

  • Density Functional Theory (DFT) calculations.
  • Analysis of reaction pathways, including migratory insertion.
  • Surface distance projection maps and Intermolecular Geometry (IGM) analysis.

Main Results:

  • The most favorable pathway involves an unusual alkene insertion into the carbon-palladium bond.
  • Josiphos-Pd backbone self-adaptation allows two distinct ligand conformations, enhancing reactivity.
  • A half-chair conformation is preferred for migratory insertion, controlling rate and enantioselectivity.
  • Steric interactions between the ligand and substrate are critical for enantioselectivity.

Conclusions:

  • DFT calculations provide mechanistic insights into Pd-catalyzed bicyclization/carbonylation.
  • Ligand conformation and substrate-ligand steric effects are vital for achieving high enantioselectivity.
  • The study highlights the importance of catalyst design and computational methods in developing selective catalytic processes.