title: Mathematical folding of node chains in a molecular network.
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.
authors.affiliation: Kobe Advanced ICT Research Center (KARC), National Institute of Information and Communications Technology (NICT), Japan. hsuzuki@nict.go.jp
authors.forename: Hideaki
authors.initials: H
authors.lastname: Suzuki
mesh_terms: D000465:Algorithms; D002384:Catalysis; D003198:Computer Simulation; D005838:Genotype; D008956:Models, Chemical; D008958:Models, Molecular; D008968:Molecular Conformation; D010641:Phenotype; D049490:Systems Biology