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Physical principles underpinning molecular-level protein evolution.

Jorge A Vila1

  • 1IMASL-CONICET, Universidad Nacional de San Luis, Ejército de Los Andes 950, 5700, San Luis, Argentina. jorgevila84@gmail.com.

European Biophysics Journal : EBJ
|June 26, 2025
PubMed
Summary
This summary is machine-generated.

Protein evolution is guided by physical principles, revealing factors that influence molecular evolution. Understanding these factors helps answer key questions about evolutionary biology and protein evolvability.

Keywords:
EpistasisEvolutionary modelsEvolutionary pathsProtein evolutionProtein stability and reversibilityThermodynamic hypothesis

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Area of Science:

  • Molecular biology
  • Evolutionary biology
  • Biophysics

Background:

  • Protein mutations drive molecular evolution.
  • Understanding factors controlling mutations is key to evolutionary biology.
  • Key factors include protein robustness, evolutionary pathways, epistasis, and post-translational modifications.

Purpose of the Study:

  • To determine factors influencing the repeatability of protein evolution at the molecular level.
  • To investigate protein evolvability by analyzing convergent and divergent evolutionary models.
  • To uncover how physical principles guide protein evolution.

Main Methods:

  • Analysis of two evolutionary models: convergent and divergent.
  • Examination of factors controlling protein mutations.
  • Relating evolutionary models to the thermodynamic hypothesis (Anfinsen's dogma).

Main Results:

  • Preliminary results indicate a strong link between the thermodynamic hypothesis and molecular-level protein evolution.
  • Both convergent and divergent evolutionary paths show this relationship.
  • Identified key factors influencing protein evolution.

Conclusions:

  • Fundamental physical principles, particularly the thermodynamic hypothesis, play a crucial role in guiding protein evolution.
  • A deeper understanding of mutationally driven evolutionary processes and their influencing factors is achievable.
  • This research provides a framework for addressing complex evolutionary biology challenges.