Front waves in the early RNA world: the Schlögl model and the logistic growth model

DOI10.1016/j.jtbi.2015.11.027zbMath1347.92022OpenAlexW2207992531WikidataQ47347561 ScholiaQ47347561MaRDI QIDQ327150

Till D. Frank

Publication date: 19 October 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2015.11.027

zbMATH Keywords

logistic growthfront wavesRNA cross-replicationSchlögl model

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40)

Cites Work

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• A limit cycle oscillator model for cycling mood variations of bipolar disorder patients derived from cellular biochemical reaction equations
• A numerical method for some stochastic differential equations with multiplicative noise
• Pattern propagation in nonlinear dissipative systems
• Looking for chemical reaction networks exhibiting a drift along a manifold of marginally stable states
• Nonlinear physics approach to RNA cross-replication: marginal stability, generalized logistic growth, and impacts of degradation
• Impacts of noise on a field theoretical model of the human brain.
• Nonlinear Fokker-Planck equations. Fundamentals and applications.
• Application of brownian motion to the equation of kolmogorov-petrovskii-piskunov
• Transport modeling in hydrogeochemical systems

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