Modeling pre-biotic self-organization: The chemical dynamics of autocatalytic networks
Varun Giri

TL;DR
This thesis develops a mathematical model of autocatalytic chemical networks, demonstrating how nested structures and increasing catalytic strengths enable large molecules to dominate prebiotic chemistry.
Contribution
It introduces a nested ACS framework and shows how increasing catalytic strengths facilitate the emergence and dominance of large molecules in chemical networks.
Findings
Nested ACSs reduce the catalytic strength needed for large molecules to dominate.
Cascade of nested ACSs allows large molecules to achieve high concentrations.
Large molecules can dominate the system through structured catalytic networks.
Abstract
In this thesis we present a mathematical model describing the population dynamics of molecules in an artificial chemistry where large molecules can be produced by successive ligation of pairs of smaller molecules. The chemistry contains a large number of spontaneous reactions of which a small subset could be catalyzed by molecules produced in the chemistry with varying catalytic strengths. We show ACSs, if present in the catalytic network, can focus the resources of the system into a sparse set of molecules. ACSs can produce a bistability in the population dynamics and, in particular, steady states wherein the ACS molecules dominate the population, i.e., have higher concentrations compared to the rest of molecules in the chemistry (background). In this thesis we attempt to address two main questions: First, under what circumstances do molecules belonging to the ACSs dominate over the…
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Taxonomy
TopicsOrigins and Evolution of Life · Protein Structure and Dynamics · Microbial Metabolic Engineering and Bioproduction
