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Protein Families02:47

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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The simplicity of protein sequence-function relationships.

Yeonwoo Park1,2, Brian P H Metzger3,4, Joseph W Thornton5,6

  • 1Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA.

Nature Communications
|September 11, 2024
PubMed
Summary
This summary is machine-generated.

Protein sequence-function relationships are simpler than previously thought. A new reference-free method reveals that basic amino acid effects and pairwise interactions explain most protein function, challenging complex epistasis models.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biophysics

Background:

  • High-order epistatic interactions are believed to govern protein sequence-function relationships, implying complexity and unpredictability.
  • Previous studies may overestimate epistasis due to reference-dependent analyses and failure to account for global nonlinearities.

Purpose of the Study:

  • To develop and validate a reference-free method for inferring protein sequence-function relationships.
  • To determine the true extent of epistasis and identify key determinants of protein function.

Main Methods:

  • A novel reference-free computational method was developed to jointly infer epistatic interactions and global nonlinearity.
  • The method was applied to 20 diverse experimental datasets covering protein sequence-function relationships.

Main Results:

  • Amino acid effects and pairwise interactions, with a simple nonlinearity, explain a median of 96% of phenotypic variance across datasets.
  • Higher-order epistasis affects only a small fraction of genotypes, and sequence-function relationships are sparse.
  • The new method is robust to noise, missing data, and model misspecification.

Conclusions:

  • Protein sequence-function causality is largely simple and predictable, dominated by context-independent effects and pairwise interactions.
  • This simplification opens avenues for tractable methods to characterize protein genetic architecture.
  • The findings challenge the pervasive view of complex, high-order epistasis in protein evolution.