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Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks

  • University of California at San Francisco

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We develop a computer model for how two different chemical catalysts in solution, A and B, could be driven to form AB complexes, based on the concentration gradients of a substrate or product that they share in common. If A's product is B's substrate, B will be attracted to A, mediated by a common resource that is not otherwise plentiful in the environment. By this simple physicochemical mechanism, chemical reactions could spontaneously associate to become chained together in solution. According to the model, such catalyst self-association processes may resemble other processes of "stochastic innovation," such as Darwinian evolution in biology, that involve a search among options, a selection among those options, and then a lock-in of that selection. Like Darwinian processes, this simple chemical process exhibits cooperation, competition, innovation, and a preference for consistency. This model may be useful for understanding organizational processes in prebiotic chemistry and for developing new kinds of self-organization in chemically reacting systems.

Original languageEnglish
Pages (from-to)10098-10103
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume104
Issue number24
DOIs
StatePublished - Jun 12 2007

Keywords

  • Abiogenesis
  • Catalytic chains
  • Chemical evolution
  • Self-organization

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