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Kinetics and coexistence of autocatalytic reaction cycles

Könnyű, Balázs and Szathmáry, Eörs and Czárán, Tamás and Szilágyi, András (2024) Kinetics and coexistence of autocatalytic reaction cycles. SCIENTIFIC REPORTS, 14. No.-18441. ISSN 2045-2322

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Abstract

Biological reproduction rests ultimately on chemical autocatalysis. Autocatalytic chemical cycles are thought to have played an important role in the chemical complexification en route to life. There are two, related issues: what chemical transformations allow such cycles to form, and at what speed they are operating. Here we investigate the latter question for solitary as well as competitive autocatalytic cycles in resource-unlimited batch and resource-limited chemostat systems. The speed of growth tends to decrease with the length of a cycle. Reversibility of the reproductive step results in parabolic growth that is conducive to competitive coexistence. Reversibility of resource uptake also slows down growth. Unilateral help by a cycle of its competitor tends to favour the competitor (in effect a parasite on the helper), rendering coexistence unlikely. We also show that deep learning is able to predict the outcome of competition just from the topology and the kinetic rate constants, provided the training set is large enough. These investigations pave the way for studying autocatalytic cycles with more complicated coupling, such as mutual catalysis.

Item Type: Article
Uncontrolled Keywords: Autocatalysis, Chemostat system, Coexistence, Deep learning, Reaction kinetics
Subjects: Q Science / természettudomány > Q1 Science (General) / természettudomány általában
Depositing User: András Szilágyi
Date Deposited: 16 Sep 2024 08:25
Last Modified: 16 Sep 2024 08:25
URI: https://real.mtak.hu/id/eprint/204898

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