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Inferring protein-folding mechanisms from natural sequence diversity.

Ezequiel A Galpern1, Ernesto A Roman2, Diego U Ferreiro1

  • 1Laboratorio de Fisiología de Proteínas, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN-CONICET), Buenos Aires, Argentina.

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This summary is machine-generated.

Protein sequences reveal evolutionary constraints to predict folding mechanisms. Evolutionary energy fields map amino acid sequences to protein foldons, enabling simulation of folding pathways and mutation impact.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Protein Science

Background:

  • Protein sequences encode evolutionary history, influencing structure, stability, and function.
  • Predicting protein folding mechanisms from sequence alone is a significant challenge in biophysics.

Purpose of the Study:

  • To infer globular protein folding mechanisms using only amino acid sequence information.
  • To investigate the relationship between protein topology, sequence diversity, and folding cooperativity.

Main Methods:

  • Mapping one- and two-body evolutionary energy fields to a coarse-grained model of foldons.
  • Simulating folding mechanisms using an Ising chain model with foldon energetics derived from amino acid sequences.
  • Analyzing folding cooperativity across diverse protein families and topologies.

Main Results:

  • Protein sequence information can predict folding mechanisms beyond native structure and stability.
  • Protein topology limits folding cooperativity variability within families.
  • Alpha-helical (α) topologies exhibit more diverse folding scenarios compared to beta (β) and alpha/beta (α/β) structures.
  • Mutation-induced changes in stability and cooperativity are computable from sequence-based evolutionary models.

Conclusions:

  • Sequence-based evolutionary models provide a powerful tool for understanding protein folding dynamics.
  • The study demonstrates a method to predict folding mechanisms and mutation effects directly from protein sequences.
  • Findings offer insights into the evolutionary basis of protein folding diversity and constraints.