Network effects lead to self-organization in metabolic cycles of self-repelling catalysts

Abstract

Mixtures of particles that interact through phoretic effects are known to aggregate if they belong to species that exhibit attractive self-interactions. We study self-organization in a model metabolic cycle composed of three species of catalytically-active particles that are chemotactic towards the chemicals that define their connectivity network. We find that the self-organization can be controlled by the network properties, as exemplified by a case where a collapse instability is achieved by design for self-repelling species. Our findings highlight a possibility for controlling the intricate functions of metabolic networks by taking advantage of the physics of phoretic active matter.

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Cited by in corpus (7)

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• Enhanced stability and chaotic condensates in multi-species non-reciprocal mixtures
• Interaction-motif-based classification of self-organizing metabolic cycles
• Self-organization of active colloids mediated by chemical interactions
• Continuous-time multifarious systems -- Part II: non-reciprocal multifarious self-organization
• State Diagram of the Non-Reciprocal Cahn-Hilliard Model and the Effects of Symmetry
• Non-reciprocal interactions between condensates in chemically active mixtures