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Signaling in Systems Chemistry: Programing Gold Nanoparticles Formation and Assembly Using a Dynamic Bistable Network
Author(s) -
Maity Indrajit,
Dev Dharm,
Basu Kingshuk,
Wagner Nathaniel,
Ashkenasy Gonen
Publication year - 2021
Publication title -
angewandte chemie
Language(s) - English
Resource type - Journals
eISSN - 1521-3757
pISSN - 0044-8249
DOI - 10.1002/ange.202012837
Subject(s) - bistability , nanotechnology , nanoparticle , cascade , colloidal gold , bridging (networking) , molecular switch , exploit , computer science , reservoir computing , biological system , chemistry , materials science , artificial neural network , molecule , artificial intelligence , recurrent neural network , optoelectronics , biology , computer network , organic chemistry , chromatography , computer security
Living cells exploit bistable and oscillatory behaviors as memory mechanisms, facilitating the integration of transient stimuli into sustained molecular responses that control downstream functions. Synthetic bistable networks have also been studied as memory entities, but have rarely been utilized to control orthogonal functions in coupled dynamic systems. We herein present a new cascade pathway, for which we have exploited a well‐characterized switchable peptide‐based replicating network, operating far from equilibrium, that yields two alternative steady‐state outputs, which in turn serve as the input signals for consecutive processes that regulate various features of Au nanoparticle shape and assembly. This study further sheds light on how bridging together the fields of systems chemistry and nanotechnology may open up new opportunities for the dynamically controlled design of functional materials.