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Area of Science:

  • Biomolecular Engineering
  • Protein Science
  • Structural Biology

Background:

  • Repetitive peptide sequences are valuable scaffolds for engineering biomolecular recognition due to their modularity and predictable structures.
  • Stimulus-responsive scaffolds, unlike stable ones, allow for allosteric regulation of function.
  • The calcium-responsive repeats in toxin (RTX) domain present a potential scaffold combining predictability and stimulus-responsiveness.

Purpose of the Study:

  • To investigate the structural and functional properties of RTX peptides for protein engineering applications.
  • To determine the critical factors for successful folding and calcium binding in RTX scaffolds.
  • To compare synthetic RTX peptides with naturally occurring RTX-containing proteins.

Main Methods:

  • Synthesis of RTX peptides with varying numbers of repeats (5-17) and with/without C-terminal capping.
  • Assessment of the impact of repeat number, ordering, and C-terminal capping on peptide folding and structure.
  • Evaluation of calcium-binding affinity across different RTX peptide constructs.
  • Comparative analysis of synthetic RTX peptides with known RTX-containing proteins.

Main Results:

  • The number of repeats influences the size of the RTX face, but repeat ordering and C-terminal capping are essential for proper folding.
  • The native configuration with nine repeats demonstrated the highest affinity for calcium.
  • Deviations from the consensus RTX sequence in C-terminal repeats of natural proteins are vital for folding and high-affinity calcium binding.
  • RTX domains appear to function within a specific, narrow size range.

Conclusions:

  • RTX scaffolds are less modular than non-responsive scaffolds, requiring retention of sequence-dependent inter-repeat interactions for future development.
  • Specific sequence variations and structural features, particularly at the C-terminus, are critical for RTX domain function and calcium binding.
  • Understanding these sequence-structure-function relationships is key to advancing RTX-based protein engineering.