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Related Experiment Video

Updated: Nov 3, 2025

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers
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Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior.

Ildefonso M De la Fuente1,2, Luis Martínez2,3, Jose Carrasco-Pujante4

  • 1Department of Nutrition, CEBAS-CSIC Institute, Murcia, Spain.

Frontiers in Genetics
|June 7, 2021
PubMed
Summary
This summary is machine-generated.

Cellular life arises from dissipative self-organization and molecular information processing, leading to complex metabolic networks. These networks exhibit learning and memory, crucial for adaptation and evolution.

Keywords:
Hopfield dynamicsdissipative structuresentropyinformation processingself-organization

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Area of Science:

  • Systems Biology
  • Molecular Biology
  • Biophysics

Background:

  • Understanding the origin of molecular organization in cellular life is a key biological challenge.
  • Cells exhibit complex dynamic architectures driven by molecular order and complexity.

Purpose of the Study:

  • To overview the primary sources of biomolecular order and complexity in cells.
  • To explore the emergence of systemic behaviors from molecular activity.

Main Methods:

  • Analysis of dissipative self-organization and its role in enzyme activity and metabolic networks.
  • Quantification of biomolecular information flow using transfer entropy (TE).
  • Application of Artificial Intelligence and Statistical Mechanics to study dissipative metabolic networks (DMN).

Main Results:

  • Dissipative self-organization is a principal source of molecular order, enabling enzyme coordination and metabolic networks.
  • Molecular information processing through TE quantifies information flow, facilitating metabolic self-regulation.
  • Systemic DMN analysis reveals Hopfield-like dynamics and associative memory, experimentally verified in amoeba cells.

Conclusions:

  • Emergent systemic functional structures, including global metabolic organization, characterize basic life units.
  • Cellular learning and epigenetic memory through associative processes are fundamental for adaptation and evolution.