TY - JOUR
T1 - Synergistic π-Tunnel Clamps in β-Sheets for Long-Range Dry-State Conduction
T2 - Toward Neural Restoration
AU - Yu, Yao
AU - Zhang, Limin
AU - Wang, Bo
AU - Zhao, Jinge
AU - Han, Kai
AU - Qi, Ying
AU - Li, Jiaqing
AU - Wang, Xin
AU - Sun, Beilei
AU - Zhang, Jian
AU - Cao, Jingtian
AU - Ma, Bokai
AU - Peng, Xubiao
AU - Cao, Jie
AU - Ke, Yubin
AU - Wang, Weizhi
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/4/2
Y1 - 2025/4/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/pages/publications/105000719647
U2 - 10.1021/jacs.4c16008
DO - 10.1021/jacs.4c16008
M3 - Article
AN - SCOPUS:105000719647
SN - 0002-7863
VL - 147
SP - 11049
EP - 11061
JO - Journal of the American Chemical Society
JF - Journal of the American Chemical Society
IS - 13
ER -