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Updated: Jan 20, 2026

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
Published on: February 7, 2017
Directional assembly of a stapled α-helical peptide
Kuan Hu1, Feng Yin, Ziyuan Zhou
1State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Shenzhen Graduate School, Peking University, Shenzhen 518055, China. lizg@pkusz.edu.cn.
Scientists developed a new oxidation method to create stapled peptides that self-assemble into nanostructures. These peptide nanostructures can deliver small interfering RNA (siRNA) into cancer cells and release it in reductive environments.
Area of Science:
- Biomaterials Science
- Supramolecular Chemistry
- Nanotechnology
Background:
- De novo design of peptide-based self-assemblies is a growing field but presents significant challenges.
- Controlling peptide structure and assembly is crucial for developing functional nanomaterials.
Purpose of the Study:
- To develop an oxidation-triggered method for peptide stapling and subsequent self-assembly.
- To create novel peptide nanostructures capable of targeted cargo delivery.
Main Methods:
- Designed a self-assembling peptide sequence (Fmoc-R(RCEX)2-NH2) with flanking cysteine residues.
- Induced α-helical structure formation via oxidation-triggered disulfide bond formation (i/i+4 stapling).
- Characterized self-assembly into nanorod and nanovesicle structures.
Main Results:
- Oxidation successfully stapled the peptide, inducing a conformational change from random coil to α-helix.
- The stapled peptide self-assembled into ordered nanorod and nanovesicle structures.
- The assembled peptide nanostructures demonstrated effective delivery of small interfering RNA (siRNA) into cancer cells.
Conclusions:
- Oxidation-triggered peptide stapling is a viable strategy for de novo design of self-assembling nanomaterials.
- The resulting peptide nanostructures can be utilized for siRNA delivery, with cargo release triggered by reductive environments.
- This approach offers a promising platform for developing advanced drug/gene delivery systems.
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