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Related Experiment Videos

Relation between protein stability, evolution and structure, as probed by carboxylic acid mutations.

Raquel Godoy-Ruiz1, Raul Perez-Jimenez, Beatriz Ibarra-Molero

  • 1Facultad de Ciencias, Departamento de Quimica Fisica, Universidad de Granada, 18071, Granada, Spain.

Journal of Molecular Biology
|February 6, 2004
PubMed
Summary

Marginally stable proteins evolve through mutations. This study shows that mutation effects on protein stability correlate with residue frequencies in sequence alignments, supporting the pseudo-equilibrium hypothesis.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Proteins exhibit marginal thermodynamic stability, a state potentially advantageous for biological functions.
  • The accumulation of neutral, destabilizing mutations might contribute to this marginal stability.
  • The pseudo-equilibrium hypothesis suggests mutations at unconstrained positions fix at frequencies reflecting their stability effects.

Purpose of the Study:

  • To experimentally test the pseudo-equilibrium hypothesis.
  • To investigate the relationship between mutation effects on protein stability and residue occurrence in sequence data.
  • To explore the specificity of stabilizing interactions within protein structures.

Main Methods:

  • Investigated glutamate-aspartate and aspartate-glutamate mutations in Escherichia coli thioredoxin.

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  • Quantified the impact of these mutations on protein thermodynamic stability.
  • Correlated mutation effects with residue frequencies in large sequence alignments generated via BLAST.

    • Main Results:

    • All glutamate to aspartate mutations were destabilizing.
    • Most aspartate to glutamate mutations were also destabilizing.
    • A strong correlation was observed between mutation effects on stability and residue frequencies in sequence alignments.

    Conclusions:

    • Provided direct, quantitative evidence supporting the pseudo-equilibrium hypothesis.
    • Demonstrated that residue environments in proteins are highly optimized for specific stabilizing interactions.
    • Showed that stabilizing interactions can be detected in sequence alignments, with implications for structural analysis.