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Evolutionary couplings detect side-chain interactions.

Adam J Hockenberry1, Claus O Wilke1

  • 1Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.

Peerj
|July 23, 2019
PubMed
Summary
This summary is machine-generated.

Evolutionary coupling analyses accurately predict protein structure by identifying residue contacts. However, using backbone atom distances underestimates accuracy; side-chain atom contacts provide a more precise measure for these predictions.

Keywords:
Contact predictionEpistasisEvolutionary couplingsProtein evolutionStructural constraints

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Evolutionary Biology

Background:

  • Amino acid covariation patterns in protein sequences reveal evolutionary couplings.
  • Evolutionary coupling (EC) algorithms predict protein structure, binding interfaces, and mutational effects.
  • Standardized methods for defining structural contacts are lacking, impacting EC algorithm benchmarking.

Purpose of the Study:

  • To investigate how different definitions of structural contacts affect the performance evaluation of EC algorithms.
  • To determine whether EC analyses preferentially identify backbone or side-chain atom contacts.
  • To provide a more accurate assessment of EC algorithm utility and suggest improvements.

Main Methods:

  • Utilized both computational simulations and empirical analyses of protein sequence and structure data.
  • Compared EC predictions against structural contacts defined by different atom types (backbone vs. side-chain).
  • Evaluated contact accuracy using Cα and Cβ atom-based definitions versus more comprehensive atomic contact definitions.

Main Results:

  • EC analyses are significantly more successful at identifying structural contacts involving side-chain atoms compared to backbone atoms.
  • Backbone-only contact definitions (e.g., Cα-Cα distances) can underestimate EC algorithm accuracy by up to 40%.
  • Cβ atom-based contact definitions result in a 10-15% underestimation of EC algorithm accuracy.

Conclusions:

  • The choice of atoms used to define residue-residue contacts critically influences the perceived accuracy of EC methods.
  • Co-evolutionary signals differ based on the specific atoms involved in inter-residue interactions.
  • Incorporating diverse interaction types, particularly side-chain contacts, can enhance the accuracy and utility of protein contact prediction methods.