Coubrough HM, van der Lubbe SCC, Hetherington K, Minard A, Pask C, Howard MJ, Fonseca Guerra C, Wilson AJ. Supramolecular Self-Sorting Networks using Hydrogen-Bonding Motifs.
Chemistry 2019;
25:785-795. [PMID:
30379364 PMCID:
PMC6563691 DOI:
10.1002/chem.201804791]
[Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Indexed: 12/22/2022]
Abstract
A current objective in supramolecular chemistry is to mimic the transitions between complex self-sorted systems that represent a hallmark of regulatory function in nature. In this work, a self-sorting network, comprising linear hydrogen motifs, was created. Selecting six hydrogen-bonding motifs capable of both high-fidelity and promiscuous molecular recognition gave rise to a complex self-sorting system, which included motifs capable of both narcissistic and social self-sorting. Examination of the interactions between individual components, experimentally and computationally, provided a rationale for the product distribution during each phase of a cascade. This reasoning holds through up to five sequential additions of six building blocks, resulting in the construction of a biomimetic network in which the presence or absence of different components provides multiple unique pathways to distinct self-sorted configurations.
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