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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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.