ja9b10302_si_003.zip (988.16 kB)
Rationalizing the Activity of an “Artificial Diels-Alderase”: Establishing Efficient and Accurate Protocols for Calculating Supramolecular Catalysis
dataset
posted on 2020-01-10, 17:03 authored by Tom A. Young, Vicente Martí-Centelles, Jianzhu Wang, Paul J. Lusby, Fernanda DuarteSelf-assembled cages
have emerged as novel platforms to explore
bioinspired catalysis. While many different size and shape supramolecular
structures are now readily accessible, only a few are known to accelerate
chemical reactions under substoichiometric conditions. These limited
examples point to a poor understanding of cage catalysis in general,
limiting the ability to design new systems. Here we show that a simple
and efficient density-functional-theory-based methodology, informed
by explicitly solvated molecular dynamics and coupled cluster calculations,
is sufficient to accurately reproduce experimental guest binding affinities
(MAD = 1.9 kcal mol–1) and identify the catalytic
Diels–Alder proficiencies (>80% accuracy) of two homologous
Pd2L4 metallocages with a variety of substrates.
This analysis reveals how subtle structural differences in the cage
framework affect binding and catalysis. These effects manifest in
a smaller distortion and more favorable interaction energy for the
catalytic cage compared to the inactive structure. This study gives
detailed insight that would otherwise be difficult to obtain from
experiments, providing new opportunities in the design of catalytically
active supramolecular cages.
History
Usage metrics
Categories
Keywords
supramolecular cagessubstoichiometric conditionsAccurate Protocolschemical reactionsMADnovel platformsguest binding affinitiesexamples pointSupramolecular Catalysis Self-assembled cagesbioinspired catalysisPd 2 L 4 metallocagescluster calculationscage frameworkcage catalysisinteraction energyshape supramolecular structuresdensity-functional-theory-based methodology
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC