The Influence of Modularity, Seeding, and Product Inhibition on Peptide Autocatalytic Network Dynamics

Wim Hordijk, Shira Shichor, Gonen Ashkenasy

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Chemical networks often exhibit emergent, systems-level properties that cannot be simply derived from the linear sum of the individual components. The design and analysis of increasingly complex chemical networks thus constitute a major area of research in Systems Chemistry. In particular, much research is focused on the emergence of functional properties in prebiotic chemical networks relevant to the origin and early evolution of life. Here, we apply a formal framework known as RAF theory to study the dynamics of a complex network of mutually catalytic peptides. We investigate in detail the influence of network modularity, initial template seeding, and product inhibition on the network dynamics. We show that these results can be useful for designing new experiments, and further argue how they are relevant to origin of life studies.

Original languageEnglish
Pages (from-to)2437-2444
Number of pages8
JournalChemPhysChem
Volume19
Issue number18
DOIs
StatePublished - 18 Sep 2018

Keywords

  • autocatalysis
  • autocatalytic sets
  • bioinformatics
  • modularity
  • origin of life
  • peptide networks
  • polymers
  • product inhibition

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry

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