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Supramolecular gel formation and self-correction induced by aggregation-driven conformational changes.

Francisco Rodríguez-Llansola1, Juan F Miravet, Beatriu Escuder

  • 1Universitat Jaume I, Dpt. Química Inorgànica i Orgànica, 12071, Castelló, Spain.

Chemical Communications (Cambridge, England)
|December 23, 2008
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Low molecular weight peptidomimetics form self-assembled fibrillar networks. These networks, formed via an unfolding process, can correct from kinetic to thermodynamic stability.

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Preparation of Mechanically Stable Self-Assembled Peptides Hydrogels
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Preparation of Mechanically Stable Self-Assembled Peptides Hydrogels

Published on: September 6, 2024

Area of Science:

  • Supramolecular Chemistry
  • Materials Science
  • Biomaterials

Background:

  • Low molecular weight compounds can self-assemble into ordered structures.
  • Peptidomimetics offer tunable properties for advanced materials.
  • Understanding aggregation mechanisms is crucial for designing functional soft materials.

Purpose of the Study:

  • To investigate the self-assembly of peptidomimetics with a Pro-Val moiety into fibrillar networks.
  • To elucidate the aggregation mechanism, including the role of unfolding.
  • To explore the self-correction of kinetically formed networks into thermodynamically stable states.

Main Methods:

  • Synthesis of low molecular weight peptidomimetics.
  • Characterization of self-assembled fibrillar networks using techniques like microscopy and spectroscopy.
  • Analysis of the aggregation mechanism through kinetic and thermodynamic studies.

Main Results:

  • Successful formation of self-assembled fibrillar networks from peptidomimetics.
  • Identification of an unfolding process associated with fibril formation.
  • Demonstration of self-correction from kinetically controlled to thermodynamically stable networks.

Conclusions:

  • Low molecular weight peptidomimetics are effective building blocks for self-assembled fibrillar networks.
  • The aggregation process involves molecular unfolding, leading to ordered structures.
  • Kinetically formed networks possess the ability to evolve into more stable thermodynamic states.