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Updated: Jan 30, 2026

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances.

Santu Bera1, Sudipta Mondal1, Yiming Tang2

  • 1Department of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences , Tel Aviv University , Tel Aviv 69978 , Israel.

ACS Nano
|January 24, 2019
PubMed
Summary

Researchers developed a design rule for predicting amino acid co-assembly based on crystal structures. Amino acids with similar layer spacing strongly co-assemble, creating novel composite materials with unique properties.

Keywords:
amino acidco-assemblycomposite biomaterialsinterlayer distancesupramolecular β-sheet

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Area of Science:

  • * Supramolecular Chemistry
  • * Materials Science
  • * Bioinspired Materials

Background:

  • * Metabolite materials enable functional bioinspired assemblies for diverse applications.
  • * Supramolecular co-assembly expands structural and functional complexity of metabolite assemblies.
  • * Designing synergistic co-assembly of amino acids for tailored architectures remains challenging.

Purpose of the Study:

  • * To propose a predictive design rule for supramolecular co-assembly of natural amino acids.
  • * To investigate the influence of interlayer separation distances on amino acid co-assembly.
  • * To explore the creation of novel functional architectures through controlled co-assembly.

Main Methods:

  • * Analysis of interlayer separation distances in single crystals of amino acids.
  • * Utilizing diverse experimental techniques to study co-assembly behavior.
  • * Characterization of structural composites formed by co-assembled amino acids.

Main Results:

  • * Amino acids with comparable interlayer separation distances exhibit strong interaction and co-assembly.
  • * Co-assembly results in structural composites with properties distinct from individual components.
  • * Mixtures of amino acids with differing layer separations lead to self-sorting and individual structures.

Conclusions:

  • * A design rule based on interlayer separation predicts amino acid co-assembly.
  • * This provides a new paradigm for modular design of supramolecular assemblies.
  • * Predictable properties of co-assembled amino acid materials can be achieved.