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Title

Biosupramolecular networks: Taking inspiration from nature to create powerful synthetic platforms
Authors
Watson, Emma
Winssinger, Nicolas
Published in Current opinion in chemical biology. 2022, vol. 66, 102104
Abstract Nature is predicated on the ability to process large number of parallel signals to produce specific downstream outputs. Biosupramolecular networks are beginning to allow such processing power in synthetic systems, particularly through harnessing the recognition power of biomolecules. Such systems can be summarised through the reductionist view of containing inputs, circuitry motifs and functional outputs, with each of these elements able to be readily combined in a modular approach. Through the inherent ‘plug and play' nature of these systems the field continues to rapidly expand, providing a wealth of new smart diagnostic and therapeutic systems.
Keywords Networks — Molecular circuitry — Chemistry of biomolecules — Biosupramolecular chemistry
Identifiers
PMID: 34936943
Full text
Article (Published version) (1.5 MB) - public document Free access
Other version: https://linkinghub.elsevier.com/retrieve/pii/S1367593121001435
Structures
Faculté des sciences / Section de chimie et biochimie / Département de chimie organique
Research group Groupe Winssinger
Citation
(ISO format) 		WATSON, Emma, WINSSINGER, Nicolas. Biosupramolecular networks: Taking inspiration from nature to create powerful synthetic platforms. In: Current opinion in chemical biology, 2022, vol. 66, p. 102104. doi: 10.1016/j.cbpa.2021.102104 https://archive-ouverte.unige.ch/unige:157695

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Deposited on : 2022-01-04

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