Structural and functional characterization of self-assembling fragments identified from the transthyretin amyloid-like structure

Abstract

The structural biology of amyloid-like systems has experienced significant advances due to the impressive technological and methodological advancements of experimental and computational techniques, providing unprecedented atomic-level details into the molecular architecture of these aggregates. Taking advantage of the availability of novel and complex amyloid-like protein structures, we evaluated the possibility of expanding the universe of self-assembling peptides by exploiting these structural data. We utilized transthyretin, a protein whose amyloid-like aggregation has significant pathological consequences but has never been employed to generate peptide-based materials, as a model system to develop a procedure for identifying novel self-assembling peptides. The pipeline we developed is based on the preliminary evaluation of the stability of the fragments through molecular dynamics simulations, experimental verification of the formation of cross-β assemblies in both solution and the solid state, and characterization of the functional properties of the generated biomaterial. In this framework, we demonstrate that selected transthyretin-based peptides have a strong tendency to self-assemble and form soft hydrogels. The characterization of these systems suggests that a mixture of these peptides tends to aggregate by co-assembly, mimicking the interactions that stabilize the amyloid-like structure of the parent protein. Our data emphasize the role that local structures play in the mechanical and optical properties of these assemblies.

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Article information

Article type
Paper
Submitted
11 Jul 2025
Accepted
15 Aug 2025
First published
16 Aug 2025
This article is Open Access
Creative Commons BY license

Nanoscale, 2025, Accepted Manuscript

Structural and functional characterization of self-assembling fragments identified from the transthyretin amyloid-like structure

M. Pizzella, A. Accardo, F. A. Mercurio, T. Sibillano, E. Gallo, G. Morelli, G. Smaldone, C. Giannini, M. Leone, N. Balasco, C. Diaferia and L. Vitagliano, Nanoscale, 2025, Accepted Manuscript , DOI: 10.1039/D5NR02939B

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