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Mapping side chain interactions at protein helix termini.

Nicholas E Newell1

  • 1Independent researcher, Reading, MA, USA. nenewell@comcast.net.

BMC Bioinformatics
|July 26, 2015
PubMed
Summary

This study reveals geometry-specific side chain interactions that stabilize protein helix termini. New motifs and their associated loop structures were identified using advanced bioinformatics, aiding protein design.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Protein structure analysis

Background:

  • Amino acid side chains near helix termini stabilize protein structure and influence loop geometry.
  • Existing knowledge of helix-terminal motifs like Asx/ST N-caps and capping boxes is incomplete regarding favored loop geometries and cooperative interactions.
  • The need for novel motif identification in large datasets using advanced bioinformatics tools is evident.

Purpose of the Study:

  • To identify favored loop backbone geometries associated with helix-terminal motifs.
  • To determine the extent of cooperative interactions in multi-amino acid motifs.
  • To discover new motifs in recent protein datasets using advanced bioinformatics.

Main Methods:

  • Partitioning helix-terminal structures by loop backbone geometry using 3D clustering.

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  • Applying the Cascade Detection algorithm to identify overrepresented sequence motifs within each geometry cluster.
  • Utilizing CapMap, a 3D conformational heatmap, to visualize and characterize motif-overrepresentation across loop geometries.

    • Main Results:

    • Identification of a comprehensive library of geometry-specific side chain interactions.
    • Detailed mapping of loop structures near helix termini, revealing new insights.
    • Characterization of favored loop geometries for known motifs (Asx/ST N-caps, capping boxes, big boxes) and novel hydrophobic, electrostatic, H-bond, and pi stacking interactions.

    Conclusions:

    • Combining structural clustering and motif detection efficiently identifies side chain motifs and maps them to supported loop geometries.
    • The findings provide valuable insights for protein designers aiming to engineer synthetic helix-terminal loops with specific geometries.
    • The described techniques are applicable to mapping side chain interactions in other protein structural components, such as beta and gamma turns.