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Updated: Jun 7, 2026

Peptide-based Identification of Functional Motifs and their Binding Partners
Published on: June 30, 2013
Computation meets experiment: identification of highly efficient fibrillating peptides
Lorenzo Sori1, Andrea Pizzi1, Greta Bergamaschi2
1Laboratory of Supramolecular and BioNano Materials (SupraBioNanoLab), Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta", Politecnico di Milano Via Luigi Mancinelli 7 20131 Milan Italy andrea.pizzi@polimi.it pierangelo.metrangolo@polimi.it.
Abstract:
Self-assembling peptides are of huge interest for biological, medical and nanotechnological applications. The enormous chemical variety that is available from the 20 amino acids offers potentially unlimited peptide sequences, but it is currently an issue to predict their supramolecular behavior in a reliable and cheap way. Herein we report a computational method to screen and forecast the aqueous self-assembly propensity of amyloidogenic pentapeptides. This method was found also as an interesting tool to predict peptide crystallinity, which may be of interest for the development of peptide based drugs.

