An efficient enumeration algorithm is developed from sufficient conditions on subgraphs in the bipartite König representation to identify autocatalytic subnetworks and minimal cores in full metabolic networks.
Origin of life: The RNA world
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Simulations show that superposed Lotka-Volterra chemical oscillations can bias binary polymer elongation to produce catalytic loops and low-entropy informational sequences at higher rates than random selection.
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Enumeration of Autocatalytic Subsystems in Large Chemical Reaction Networks
An efficient enumeration algorithm is developed from sufficient conditions on subgraphs in the bipartite König representation to identify autocatalytic subnetworks and minimal cores in full metabolic networks.
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Genetic Information as a "Chord" of Chemical Oscillations: Emergence of Catalyst-RNA Systems Driven by Superposed Rhythms
Simulations show that superposed Lotka-Volterra chemical oscillations can bias binary polymer elongation to produce catalytic loops and low-entropy informational sequences at higher rates than random selection.