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Updated: Aug 9, 2025

Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism
Published on: December 18, 2013
Reframing prosegment-dependent folding and limits on natural protein folding landscapes from an evolutionary
Andrew D Sanders1, Derek R Dee1, Rickey Y Yada1
1Faculty of Land and Food Systems, University of British Columbia, Vancouver, British Columbia, Canada.
Proteases like pepsin and alpha-lytic protease (αLP) may have evolved distinct, unevolved folding landscapes. This challenges traditional protein folding principles and opens new avenues for enzyme design.
Area of Science:
- Biochemistry
- Molecular Biology
- Evolutionary Biology
Background:
- Proteases are crucial enzymes, but their folding mechanisms are not fully understood.
- Traditional protein folding models emphasize thermodynamic stability and rapid folding.
- Some proteases, like pepsin and alpha-lytic protease (αLP), exhibit unusual folding properties.
Purpose of the Study:
- To propose a new perspective on the folding energy landscapes of specific proteases.
- To challenge conventional protein folding principles by examining 'unevolved' landscapes.
- To explore the evolutionary and practical implications of these distinct folding strategies.
Main Methods:
- Comparative analysis of folding energy landscapes.
- Examination of kinetic and thermodynamic properties of proteases.
- Review of existing literature on protein folding exceptions.
Main Results:
- Pepsin and αLP folding landscapes are proposed as unevolved and distinct from their zymogen forms.
- These proteases display frustration hallmarks: non-cooperativity, memory effects, and kinetic trapping.
- This folding strategy deviates from general protein folding principles.
Conclusions:
- Proteins may evolve to utilize a wider range of energy landscapes than previously thought.
- This perspective offers insights into enzyme design, drug targets, and tunable folding landscapes.
- Growing examples of protein folding exceptions suggest a paradigm shift in understanding protein structure-function relationships.
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