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Self-assembling α,γ-cyclic peptides that generate cavities with tunable properties.

Nuria Rodríguez-VázquezRebeca García-FandiñoManuel AmorínJuan R Granja
Published in: Chemical science (2015)
The design and synthesis of β-sheet-based self-assembling cyclic peptides with tunable cavities is described. The incorporation of a γ-amino acid with a hydroxyl group at C2 allows the incorporation of different groups that modify the internal properties of the resulting dimeric ensemble. These dimers can entrap different guests depending on the properties of the group at C2. The guest defines the geometry of the resulting aggregate.
Keyphrases
  • amino acid
  • machine learning