Self-assembling peptides construct supramolecular materials

doi:10.1039/D5CC06446E

Self-assembling peptides construct supramolecular materials

2026-01-17

0

PRE

AI

DOI：10.1039/D5CC06446E

Original

Original request for help

Save

Abstract

En 中文

Programmable peptide self-assembly enables the precise construction of supramolecular materials; establishing it as a defining frontier in nanomaterials research. This review systematically explores the collective contribution of sequence design; secondary structure regulation (including α-helices; β-sheets; and cyclic conformations); and dynamic modulation; and hierarchical organization in facilitating the creation of well-defined nanostructures such as nanotubes; nanopores; and nanocages. Artificial intelligence and computational modeling have emerged as critical tools to guide peptide design and predict assembly pathways; thereby enabling a strategic shift from empirical screening to mechanism-driven design. The review further highlights nanopore-based detection applications; demonstrating the potential for highly accurate; biocompatible detection of ions; nucleic acids; and proteins at single-molecule resolution. By integrating molecular design with biological function; this “from sequence-design to ordered structures to advanced applications” paradigm establishes a foundational framework for the development of precisely constructed functional supramolecular materials.

Self-assembling peptides construct supramolecular materials

Abstract

Journal

Organization