Synergisticπ‑Tunnel Clamps in β‑Sheetsfor Long-Range Dry-State Conduction: Toward Neural Restoration

The ordered arrangement of π–π networks within nanostructures is advantageous for the construction of artificial electronic transport (ETp) systems. Building such structures with biocompatible peptides offers a potential for prescribed structural addressability and enhanced ETp capability with implications for targeted neural tissue engineering. However, creating ordered π–π tunnels in peptide nanostructures composed entirely of natural amino acids presents challenges resulting from the flexible side chains and the free movement of aromatic residues, causing unpredictable orientation. In this study, a novel peptide nanostructure was constructed through rational design and high-throughput screening leveraging hierarchical β-sheets to achieve molecular programmability. Precise regulation of key residues at the aromatic–hydrophilic junctions within the peptide chain facilitated the transition from single interaction forces (hydrophobic or hydrogen bonding) to synergistic forces, enabling the formation of supramolecular clamps during the lateral stacking of β-sheets. The clamps compel the torsion-angle alternation between aromatic residues and the β-plane, increasing the stacking order of aromatic rings and reducing the π–π distance in the optimized RT peptide system. The RT system promotes the formation of an orderly delocalized electron tunnel, achieving dry-state molecular conductivity composed entirely of natural amino acids. Besides ETp, the RT system also provides neural-targeting capability, flexibility, and mechanical strength, allowing it to support axon elongation and neural restoration, serving as an advanced neuro-electronic interface.

Publication Details

Journal
Figshare
Published
2025-03-25
DOI
https://doi.org/10.1021/jacs.4c16008.s001
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergisticπ‑Tunnel Clamps in β‑Sheetsfor Long-Range Dry-State Conduction: Toward Neural Restoration

Figshare
Supramolecular Self-Assembly in Materials
article

Synergisticπ‑Tunnel Clamps in β‑Sheetsfor Long-Range Dry-State Conduction: Toward Neural Restoration

article en

Abstract

The ordered arrangement of π–π networks within nanostructures is advantageous for the construction of artificial electronic transport (ETp) systems. Building such structures with biocompatible peptides offers a potential for prescribed structural addressability and enhanced ETp capability with implications for targeted neural tissue engineering. However, creating ordered π–π tunnels in peptide nanostructures composed entirely of natural amino acids presents challenges resulting from the flexible side chains and the free movement of aromatic residues, causing unpredictable orientation. In this study, a novel peptide nanostructure was constructed through rational design and high-throughput screening leveraging hierarchical β-sheets to achieve molecular programmability. Precise regulation of key residues at the aromatic–hydrophilic junctions within the peptide chain facilitated the transition from single interaction forces (hydrophobic or hydrogen bonding) to synergistic forces, enabling the formation of supramolecular clamps during the lateral stacking of β-sheets. The clamps compel the torsion-angle alternation between aromatic residues and the β-plane, increasing the stacking order of aromatic rings and reducing the π–π distance in the optimized RT peptide system. The RT system promotes the formation of an orderly delocalized electron tunnel, achieving dry-state molecular conductivity composed entirely of natural amino acids. Besides ETp, the RT system also provides neural-targeting capability, flexibility, and mechanical strength, allowing it to support axon elongation and neural restoration, serving as an advanced neuro-electronic interface.

Figshare
Openalex Percentile: Top 66%
Supramolecular Self-Assembly in Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.