Basic statistical recipes for the emergence of biochemical discernment

Area of Science:

• Biophysics
• Biochemistry
• Systems Biology

Background:

• Understanding life requires identifying basic mechanisms distinguishing living systems from random chemical reactions.
• Ludwig Boltzmann's concept of life as a struggle for entropy and self-organization out of equilibrium provides a foundational physical principle.
• Elementary biochemical systems exhibit characteristics of life, including accurate biological reactions from random molecular interactions.

Purpose of the Study:

• To investigate the statistical underpinnings of discerning behavior in biochemical systems.
• To demonstrate how non-equilibrium steady states and statistical mechanics explain fundamental life characteristics.
• To explore the role of free energy and information archiving in molecular decision-making.

Main Methods:

• Statistical analysis of elementary steady-state biochemical systems.
• Examination of microstate elimination leading to sigmoidal responses.
• Analysis of time-irreversible transitions driven by free energy injection.
• Review of molecular biology examples (enzymology, gene expression) and information archiving.

Main Results:

• Sigmoidal responses from microstate elimination sufficiently explain core life characteristics.
• Introduction of free energy creates time-irreversible transitions, enabling decisional capacity in macromolecules.
• Non-equilibrium steady-state mechanisms are crucial in contemporary molecular biology.
• Information archiving enables time-reversible, non-dissipative discernment via evolutionary pre-organized complexes.

Conclusions:

• Life's discerning behavior arises from statistical principles governing biochemical systems far from equilibrium.
• Free energy injection and information archiving are key strategies for molecular decision-making and non-dissipative discernment.
• These physical principles offer a fundamental framework for understanding the origins and mechanisms of life.