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Mathematical folding of node chains in a molecular network

Authors
Journal
Biosystems
0303-2647
Publisher
Elsevier
Publication Date
Volume
87
Identifiers
DOI: 10.1016/j.biosystems.2006.09.005
Keywords
  • Artificial Chemistry
  • Folding
  • Complementary Matching
  • Control-Flow Cluster
  • Rna World
Disciplines
  • Biology
  • Chemistry
  • Computer Science

Abstract

Abstract Under the framework of network artificial chemistry (NAC), a method to construct a phenotypic machine from genotypic information is proposed. The genotype is expressed as a sequence of nodes (a node chain) with symbol data. According to an implemented algorithm, a chain is agglomerated, tangled, and finally folded into a node cluster that works as a control-flow machine in the network. Two examples of control-flow clusters, splitase and replicase, are presented and their functionality is demonstrated. Several meanings and future research directions are discussed.

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