Synlett
DOI: 10.1055/s-0043-1775490
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Supramolecular Catalysis and Molecular Switches

(Supra)Molecular Switches Controlled by Artificial Signaling Cascades

Jayashree Venkatesh
a   Department of Chemistry, SRM Institute of Science and Technology (SRMIST), Kattankulathur 603 203, India
,
Akanksha Sharma
b   School of Chemistry, Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, Kerala 695 551, India
,
Soumen De
b   School of Chemistry, Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, Kerala 695 551, India
,
Susnata Pramanik
a   Department of Chemistry, SRM Institute of Science and Technology (SRMIST), Kattankulathur 603 203, India
,
Michael Schmittel
c   Center of Micro and Nanochemistry and (Bio)Technology, School of Science and Technology, Organische Chemie I, University of Siegen, Adolf-Reichwein Str. 2, 57068 Siegen, Germany
› Author Affiliations

We thank Science and Engineering Research Board (SERB, DST), India, for financial support via project SRG/2020/001486 (S.D.), SRG/2021/001033 (S.P.). A.S. acknowledges the support from Prime Minister’s Research Fellowship (PMRF; 0802003). S.D. and A.S. acknowledge the support from Indian Institute of Science Education and Research, Thiruvananthapuram (IISER TVM). J.V. and S.P. thank SRM Institute of Science and Technology (SRMIST). M. S. is indebted to the University of Siegen.


Abstract

Biological communication is an indispensable component of intra- and extracellular regulation of life. Inspired by such complicated control networks, systems chemistry has begun to advance tools for autonomous networks by developing communication protocols between molecular entities to up- and downregulate functions (simple catalysis, dual catalysis, time-encoded emission). However, up to now these protocols remain relatively simple, indicating that there will be a long way to self-sustaining and autonomous functional systems. This review focuses on communication in artificial multicomponent systems that operate under either equilibrium or dissipative conditions, detailing the design principles for their operations. Finally, we discuss the key differences between biological and artificial signaling, emphasizing the limitations of artificial signaling and suggesting future directions in the field of artificial signal transduction.

1 Introduction

2 Communication and Information Processing in Artificial Systems: Toward Smart Systems Chemistry

2.1 Type 1: External Signal with One Sender, One Messenger, and One Receiver

2.2 Type 2: External Signal with One Sender, One Messenger, and Two Receivers

2.3 Type 3: One/Two External Signal(s) with Two Senders, Two Messengers, and One/Two Receiver(s)

2.4 Type 4: External Signal with Cascaded Communication Across Multiple Receivers

2.5 Type 5: Signaling Cascade Leading to Multiple Chemical Reactions

2.6 Type 6: Signaling Cascade with Self-Regulation

3 The Bigger Picture

4 Conclusion and Outlook



Publication History

Received: 28 February 2025

Accepted after revision: 08 April 2025

Article published online:
01 July 2025

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