Conspectus: As molecular systems of increasing complexity come to dominate the frontiers of chemistry, biology, and materials science, the temptation grows to bypass mechanistic understanding in favor of correlations (whether empirical or learned) that capture trends without illuminating their origins. Yet, for systems governed by dense networks of noncovalent interactions, correlations without causation offer limited transferability. The deeper challenge lies in forging an understanding that is at once quantitatively rigorous and chemically intuitive: principles rooted in the physics of these interactions, capable of explaining why a system behaves as it does and of guiding its rational redesign. We believe that extracting such transferable insights from the accurate characterization of noncovalent interactions in complex systems is a central objective of modern computational chemistry. This challenge intensifies as molecular architectures grow in size and flexibility, entering a regime in which the tools of small-molecule quantum chemistry and the sampling demands of biomolecular simulations must converge. Here, we examine an especially challenging case study: harnessing London dispersion in confined asymmetric catalysis. London dispersion is among the most pervasive yet least exploited forces in asymmetric catalysis. In enzymes, precisely shaped active sites achieve extraordinary selectivity by confining substrates within pockets rich in noncovalent contacts. Confined chiral catalysts emulate this strategy: their enclosed active sites shape the conformational space of catalyst–substrate assemblies multiplying short-range contacts, enhancing a contribution whose role in stereocontrol grows with the degree of confinement. Recognizing and quantifying this role, however, demands computational strategies that match the complexity of the systems involved: large, flexible supramolecular assemblies in which competing enantiomeric pathways are separated by fractions of a kcal·mol–1. This Account shows how such strategies enable quantitative prediction of enantioselectivity and reveal London dispersion as an often overlooked yet engineerable interaction in confined asymmetric catalysis. Using imidodiphosphorimidate (IDPi) catalysts as the central case studies, we demonstrate that an accurate description of their systems requires treating key intermediates and transition states as conformational ensembles rather than single structures, where the role of the solvent adds a further layer of supramolecular complexity. With ensembles ranked to identify the arrangements that are thermally accessible under reaction conditions, electronic structure analysis enables the disentangling of the noncovalent interactions that discriminate between competing pathways. Building on the combination of quantitative accuracy and interaction-level insight, we examine recent representative case studies that illustrate how London dispersion plays a crucial role in shaping function in chiral ion-pair (CIP) catalysis. These examples reveal recognition modes reminiscent of enzymatic catalysis─from rigid lock-and-key complementarity, in which the catalyst pocket provides a fixed dispersion landscape that selectively rewards one substrate orientation, to induced-fit scenarios in which the catalytic cavity reorganizes to maximize dispersive contacts with the bound substrate, without however compromising excessively intracatalyst dispersion. We further show how dispersion involving the surrounding environment, including solvent–catalyst–substrate interactions, can introduce additional energetic bias and shift selectivity. Overall, our work emphasizes that London dispersion can be considered a structurally programmable lever for selectivity, encoded through the rational codesign of catalyst, substrate, and solvent.
London Dispersion in Confined Chiral Ion-Pair Asymmetric Catalysis: From Background Interaction to Design Principle
Baldinelli L.
;Bistoni G.
2026
Abstract
Conspectus: As molecular systems of increasing complexity come to dominate the frontiers of chemistry, biology, and materials science, the temptation grows to bypass mechanistic understanding in favor of correlations (whether empirical or learned) that capture trends without illuminating their origins. Yet, for systems governed by dense networks of noncovalent interactions, correlations without causation offer limited transferability. The deeper challenge lies in forging an understanding that is at once quantitatively rigorous and chemically intuitive: principles rooted in the physics of these interactions, capable of explaining why a system behaves as it does and of guiding its rational redesign. We believe that extracting such transferable insights from the accurate characterization of noncovalent interactions in complex systems is a central objective of modern computational chemistry. This challenge intensifies as molecular architectures grow in size and flexibility, entering a regime in which the tools of small-molecule quantum chemistry and the sampling demands of biomolecular simulations must converge. Here, we examine an especially challenging case study: harnessing London dispersion in confined asymmetric catalysis. London dispersion is among the most pervasive yet least exploited forces in asymmetric catalysis. In enzymes, precisely shaped active sites achieve extraordinary selectivity by confining substrates within pockets rich in noncovalent contacts. Confined chiral catalysts emulate this strategy: their enclosed active sites shape the conformational space of catalyst–substrate assemblies multiplying short-range contacts, enhancing a contribution whose role in stereocontrol grows with the degree of confinement. Recognizing and quantifying this role, however, demands computational strategies that match the complexity of the systems involved: large, flexible supramolecular assemblies in which competing enantiomeric pathways are separated by fractions of a kcal·mol–1. This Account shows how such strategies enable quantitative prediction of enantioselectivity and reveal London dispersion as an often overlooked yet engineerable interaction in confined asymmetric catalysis. Using imidodiphosphorimidate (IDPi) catalysts as the central case studies, we demonstrate that an accurate description of their systems requires treating key intermediates and transition states as conformational ensembles rather than single structures, where the role of the solvent adds a further layer of supramolecular complexity. With ensembles ranked to identify the arrangements that are thermally accessible under reaction conditions, electronic structure analysis enables the disentangling of the noncovalent interactions that discriminate between competing pathways. Building on the combination of quantitative accuracy and interaction-level insight, we examine recent representative case studies that illustrate how London dispersion plays a crucial role in shaping function in chiral ion-pair (CIP) catalysis. These examples reveal recognition modes reminiscent of enzymatic catalysis─from rigid lock-and-key complementarity, in which the catalyst pocket provides a fixed dispersion landscape that selectively rewards one substrate orientation, to induced-fit scenarios in which the catalytic cavity reorganizes to maximize dispersive contacts with the bound substrate, without however compromising excessively intracatalyst dispersion. We further show how dispersion involving the surrounding environment, including solvent–catalyst–substrate interactions, can introduce additional energetic bias and shift selectivity. Overall, our work emphasizes that London dispersion can be considered a structurally programmable lever for selectivity, encoded through the rational codesign of catalyst, substrate, and solvent.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
