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Area of Science:

  • Structural Biology
  • Computational Biology
  • Protein Engineering

Background:

  • Understanding protein structure-function relationships is crucial.
  • Point mutations can alter protein conformation and stability.
  • Quantifying the structural impact of single amino acid substitutions is challenging.

Purpose of the Study:

  • To build a structural database of mutated and native protein chains.
  • To develop a method (P-RANK) for quantifying local structural distortions caused by mutations.
  • To analyze the relationship between mutation location and structural impact.

Main Methods:

  • Construction of a structural database with 11 families of single amino acid substitution variants and 5 families of identical sequence controls.
  • Calculation of Root Mean Square Deviation (RMSD) between mutated and native proteins.
  • Development and application of the P-RANK score, incorporating P-values derived from RMSD analysis.
  • Comparison of RMSD in loops versus regular secondary structures and surface-exposed versus buried positions.

Main Results:

  • RMSD between mutated and native proteins was smaller than RMSD among identical sequences, indicating local effects.
  • The P-RANK score revealed that 38% of mutations significantly affected protein backbone displacement.
  • Mutations in regular secondary structures and buried positions showed a greater relative effect than in loops, despite higher absolute RMSD in loops.
  • No correlation was found between RMSD and predicted free energy of folding (ΔΔG), but a slight correlation existed between high RMSD and prediction errors.

Conclusions:

  • Single amino acid substitutions induce localized structural perturbations.
  • The P-RANK score effectively highlights subtle backbone distortions caused by mutations.
  • The structural impact of mutations is context-dependent, influenced by secondary structure and residue burial.
  • Current methods for predicting folding energy changes may not fully capture the structural consequences of mutations.