Sequence-Dependent Tyrosine-Containing Peptide Nanoassemblies for Sensing Tyrosinase and Melanoma

Empowering hydrophobic anticancer drugs by ultrashort peptides: General Co-assembly strategy for improved solubility, targeted efficacy, and clinical application

The current state of drug delivery systems allows for the resolution of specific issues like inadequate solubility, limited targeting capabilities, and complex preparation processes, requiring tailored designs for different drugs. Yet, the major challenge in clinical application lies in surmounting these obstacles with a universal carrier that is effective for a variety of anticancer drugs. Herein, with the help of computer simulation, we rationally design ultrashort peptides GY and CCYRGD, which can co-assemble with hydrophobic anticancer drugs into nanoparticles with enhanced solubility, targeting ability and anticancer efficacy. Taking 7-ethyl-10-hydroxy camptothecin (SN38) as a model anticancer drug, the co-assembled SN38-GY-CCYRGD nanoparticles significantly enhance the water solubility of SN38 by more than three orders of magnitude. The as-prepared nanoparticles can effectively kill cancer cells, e.g., human small cell lung cancer (A549) cells with a notable cell mortality rate of 71%. Mice experimental results demonstrate the nanoparticles' efficient targeting capability, marked reducing the toxicity to normal tissues while improving antitumor efficacy. This work presents a novel drug delivery method, integrating effective, targeted, and safe strategies into a comprehensive carrier system, designed for the administration of hydrophobic anticancer drugs.

Real-time fluorescence dynamics in one-step synthesis of gold nanoclusters coupling with peptide motifs

The molecule-like electronic structure endows gold nanoclusters (AuNCs) a most intriguing property, fluorescence, thereby AuNCs offer a great potential for biomedical applications. Recent efforts to improve the fluorescence of AuNCs mainly focus on tailoring size, structure and chemical environments. Herein, with the help of molecular dynamics simulation, we designed tyrosine-containing peptide motifs as the reducing agents, protecting ligands to synthesis P (peptide)-AuNCs in one-step reaction, which was developed to real-time monitor the fluorescence evolution of P-AuNCs. P-AuNCs with a quantum yield of ∼ 18 % were synthesized and further demonstrated for multiple biomedical applications, such as sensing of temperature (10-55 ℃) and metal ions (with a limit of detection of 5 nM for Hg2+), as well as cell labeling and imaging. With the excellent biocompatibility, wide spectral range and potential capacity for bio-recognition, this study provides a useful one-step synthesis strategy for screening out peptide motifs to real-time modulate the optical properties of peptide-containing hybrid nanomaterials.

Creating de novo peptide-based bioactivities: from assembly to origami

DNA origami has created complex structures of various spatial dimensions. However, their versatility in terms of function is limited due to the lower number of the intrinsic building blocks, i.e. nucleotides, compared with the number of amino acids. Therefore, protein origami has been proposed and demonstrated to precisely fabricate artificial functional nanostructures. Despite their hierarchical folded structures, chain-like peptides and DNA share obvious similarities in both structures and properties, especially in terms of chain hybridization; therefore, replacing DNA with peptides to create bioactivities not only has high theoretical feasibility but also provides a new bottom-up synthetic strategy. However, designing functionalities with tens to hundreds of peptide chains using the similar principle of DNA origami has not been reported, although the origami strategy holds great potential to generate more complex bioactivities. In this perspective review, we have reviewed the recent progress in and highlighted the advantages of peptide assembly and origami on the orientation of artificially created bioactivities. With the great potential of peptide origami, we appeal to develop user-friendly softwares in combination with artificial intelligence.