Abstract
AbstractSystems Chemistry generates platforms for studying the emergence of function in networks operating far from equilibrium. In this area, we have previously used experiments and simulations towards characterization and manipulation of small peptide‐based networks, driven by reversible self‐replication processes, that exhibit bistability. We now show how coupling two such networks, each exhibiting bistability, yields new dynamic systems that reach multiple (up to four) steady states. Furthermore, we demonstrate how such multistationarity, rarely analyzed before, can be systematically programmed and tuned. Our results suggest that the key to mimic biological complexification lies not only in the applied network size, the number of molecules involved, or even in the emergence of elaborate structures, but also in the network nature and topology.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
