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Updated: Jul 3, 2025

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Park et al. claim their reference-free analysis (RFA) simplifies protein sequence-function landscapes. However, this study demonstrates RFA is equivalent to existing methods, and landscape interpretations, not methods, explain differing conclusions on epistasis.

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Area of Science:

  • Protein engineering
  • Computational biology
  • Biophysics

Background:

  • Understanding protein sequence-function relationships is crucial for protein design.
  • Epistasis, or the interaction between mutations, significantly influences these landscapes.
  • Previous analyses suggested complex epistasis, but a recent preprint challenged these findings.

Approach:

  • The authors re-evaluated a recent preprint's analysis of 20 empirical protein sequence-function landscapes.
  • They mathematically demonstrated the equivalence of the preprint's reference-free analysis (RFA) method to established reference-based methods.
  • The study compared the inferred landscape parameters from both analytical approaches.

Key Points:

  • The reference-free analysis (RFA) method is mathematically identical to traditional reference-based least-squares methods.
  • Reanalyzed protein sequence-function landscapes are not fundamentally different from those in original studies.
  • Discrepancies in conclusions stem from differing interpretations of landscape parameters, not analytical methods.

Conclusions:

  • The claims that RFA simplifies protein sequence-function landscapes and reveals less epistasis are unsubstantiated.
  • The inherent complexity and significant role of epistasis in protein evolution remain supported by the data.
  • Methodological artifacts do not explain the perceived simplicity of protein sequence-function landscapes.