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An ultra-high affinity protein-protein interface displaying sequence-robustness.

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Summary

Ultra-high affinity protein interactions can tolerate mutations at the interface without losing binding strength. This suggests protein complexes are robust to evolutionary changes, even without traditional hotspot residues.

Keywords:
computational protein redesignnon-hotspot-centric interactionsprotein-protein complexproteinaceous inhibitorsurface plasmon resonance

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Protein Engineering

Background:

  • Protein-protein interactions are vital in biological systems, including immune responses, signaling, and enzyme regulation.
  • Ultra-high affinity interactions (Kd <0.1 nM) are observed but their structural and energetic basis remains unclear.
  • The barley limit dextrinase (LD) and its inhibitor (LDI) form an ultra-high affinity complex (Kd = 42 pM).

Purpose of the Study:

  • To investigate the robustness of the ultra-high affinity LD-LDI complex to sequence variations at the protein-protein interface.
  • To determine if alternative LDI sequences can maintain ultra-high binding affinity.
  • To understand the energetic contributions to ultra-high affinity interactions.

Main Methods:

  • Computational protein redesign was employed to engineer LDI variants.
  • Variants with diverse mutations beyond conservative substitutions were created.
  • Surface plasmon resonance (SPR) was used to analyze binding affinities of LDI variants to LD.

Main Results:

  • High affinity of the LD-LDI complex depends on rim interactions, not central hotspot residues.
  • LDI variants with substitutions, including those with different functional groups, retained ultra-high affinity.
  • Energetic coupling between distant interface residues was observed.

Conclusions:

  • Ultra-high binding affinity can be achieved without hotspot residues, enhancing complex stability against mutations.
  • The LD-LDI interface demonstrates a non-classical arrangement contributing to robust binding.
  • This finding has implications for understanding protein complex evolution and engineering stable protein interactions.