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Supramolecular Self-Sorting Networks using Hydrogen-Bonding Motifs
Authors:Heather M Coubrough  Stephanie C C van?der?Lubbe  Kristina Hetherington  Aisling Minard  Dr Christopher Pask  Dr Mark J Howard  Prof?Dr Célia Fonseca?Guerra  Prof?Dr Andrew J Wilson
Institution:1. School of Chemistry, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT UK

Astbury Centre for Structural Molecular Biology, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT UK;2. Department of Theoretical Chemistry and Amsterdam Centre for Multiscale Modelling, Vrije Universiteit, De Boelelaan 1081, Amsterdam, 1081 HV The Netherlands;3. School of Chemistry, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT UK

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.
Keywords:biomimetic chemistry  hydrogen bonding  molecular recognition  self-sorting  supramolecular chemistry
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