Unknown

Dataset Information

0

Dynamic self-assembly of supramolecular catalysts from precision macromolecules.


ABSTRACT: We show the emergence of strong catalytic activity at low concentrations in dynamic libraries of complementary sequence-defined oligomeric chains comprising pendant functional catalytic groups and terminal recognition units. In solution, the dynamic constitutional library created from pairs of such complementary oligomers comprises free oligomers, self-assembled di(oligomeric) macrocycles, and a virtually infinite collection of linear poly(oligomeric) chains. We demonstrate, on an exemplary catalytic system requiring the cooperation of no less than five chemical groups, that supramolecular di(oligomeric) macrocycles exhibit a catalytic turnover frequency ca. 20 times larger than the whole collection of linear poly(oligomers) and free chains. Molecular dynamics simulations and network analysis indicate that self-assembled supramolecular di(oligomeric) macrocycles are stabilized by different interactions, among which chain end pairing. We mathematically model the catalytic properties of such complex dynamic libraries with a small set of physically relevant parameters, which provides guidelines for the synthesis of oligomers capable to self-assemble into functionally-active supramolecular macrocycles over a larger range of concentrations.

SUBMITTER: Qin Q 

PROVIDER: S-EPMC10498719 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications


We show the emergence of strong catalytic activity at low concentrations in dynamic libraries of complementary sequence-defined oligomeric chains comprising pendant functional catalytic groups and terminal recognition units. In solution, the dynamic constitutional library created from pairs of such complementary oligomers comprises free oligomers, self-assembled di(oligomeric) macrocycles, and a virtually infinite collection of linear poly(oligomeric) chains. We demonstrate, on an exemplary cata  ...[more]

Similar Datasets

| S-EPMC5093325 | biostudies-literature
| S-EPMC8025988 | biostudies-literature
| S-EPMC11533158 | biostudies-literature
| S-EPMC9830222 | biostudies-literature
| S-EPMC6345590 | biostudies-literature
| S-EPMC5454539 | biostudies-literature
| S-EPMC10357564 | biostudies-literature
| S-EPMC7159596 | biostudies-literature
| S-EPMC7159549 | biostudies-literature
| S-EPMC2765196 | biostudies-literature