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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
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Spontaneous emergence of autocatalytic information-coding polymers
Alexei V Tkachenko1, Sergei Maslov2
1Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, USA.
The Journal of Chemical Physics
|August 3, 2015
Summary
This study reveals a critical transition in self-replicating polymer systems, moving from free monomers to self-sustaining chain populations. This discovery is key for understanding autocatalysis and evolvability in both biology and material science.
Area of Science:
- Polymer chemistry
- Systems biology
- Materials science
Background:
- Self-replicating systems are fundamental to life and emerging in nanotechnology.
- Information-coding polymers are central to these systems.
- Autocatalysis is a key process for self-replication.
Purpose of the Study:
- To analyze the spontaneous emergence of autocatalysis in heteropolymers.
- To investigate template-assisted ligation under cyclic environmental changes.
- To model the transition from monomer-dominated to self-sustaining chain regimes.
Main Methods:
- Theoretical analysis of self-replicating heteropolymer systems.
- Numerical simulations to validate the model.
- Mathematical modeling of template-assisted ligation kinetics.
Main Results:
- Identified a first-order phase transition between free monomers and self-sustaining polymer chains.
- Developed a tractable model predicting chain length distribution and autocatalysis onset.
- Discovered a kinetically limited optimal overlap length for template-substrate interactions.
Conclusions:
- Template-assisted ligation can lead to spontaneous autocatalysis and self-replication.
- The model provides a framework for understanding information encoding, memory, and evolvability in synthetic systems.
- This work bridges principles of polymer chemistry with systems biology and materials design.
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