Synergistic π-Tunnel Clamps in β-Sheets for Long-Range Dry-State Conduction: Toward Neural Restoration

Area of Science:

• Biomaterials Science
• Nanotechnology
• Neuroscience

Background:

• Ordered π-π networks in nanostructures are crucial for artificial electronic transport (ETp) systems.
• Biocompatible peptide nanostructures offer potential for neural tissue engineering but face challenges in controlling aromatic residue orientation.
• Flexible side chains and free aromatic residues in natural amino acid-based peptides hinder predictable π-π stacking.

Purpose of the Study:

• To design and construct a novel peptide nanostructure with ordered π-π networks using natural amino acids.
• To achieve molecular programmability for enhanced electronic transport capabilities.
• To explore applications in neural tissue engineering and restoration.

Main Methods:

• Rational design and high-throughput screening of peptide sequences.
• Leveraging hierarchical β-sheets for molecular programmability.
• Precise regulation of residues at aromatic-hydrophilic junctions to induce synergistic forces and supramolecular clamping.

Main Results:

• Developed an optimized RT peptide system that compels π-π stacking and reduces π-π distance through supramolecular clamps.
• Achieved an orderly delocalized electron tunnel, resulting in dry-state molecular conductivity.
• Demonstrated neural-targeting capability, flexibility, and mechanical strength supporting axon elongation.

Conclusions:

• The novel RT peptide system successfully creates ordered π-π tunnels from natural amino acids, enabling molecular conductivity.
• This peptide nanostructure shows significant potential as an advanced neuro-electronic interface for neural restoration.
• The findings advance the development of biocompatible materials for sophisticated electronic and neural applications.