Designed Armadillo repeat proteins (ArmRPs) are a novel class of binding proteins intended for general modular peptide binding and have very favorable expression and stability properties. Using a combination of sequence and structural consensus analyses, we generated a 42-amino-acid designed Armadillo repeat module with six randomized positions, having a theoretical diversity of 9.9×10(6) per repeat.
View Article and Find Full Text PDFA multidisciplinary approach based on molecular dynamics (MD) simulations using homology models, NMR spectroscopy, and a variety of biophysical techniques was used to efficiently improve the thermodynamic stability of armadillo repeat proteins (ArmRPs). ArmRPs can form the basis of modular peptide recognition and the ArmRP version on which synthetic libraries are based must be as stable as possible. The 42-residue internal Arm repeats had been designed previously using a sequence-consensus method.
View Article and Find Full Text PDFThe armadillo domain is a right-handed super-helix of repeating units composed of three α-helices each. Armadillo repeat proteins (ArmRPs) are frequently involved in protein-protein interactions, and because of their modular recognition of extended peptide regions they can serve as templates for the design of artificial peptide binding scaffolds. On the basis of sequential and structural analyses, different consensus-designed ArmRPs were synthesized and show high thermodynamic stabilities, compared to naturally occurring ArmRPs.
View Article and Find Full Text PDFArmadillo repeat proteins are abundant eukaryotic proteins involved in several cellular processes, including signaling, transport, and cytoskeletal regulation. They are characterized by an armadillo domain, composed of tandem armadillo repeats of approximately 42 amino acids, which mediates interactions with peptides or parts of proteins in extended conformation. The conserved binding mode of the peptide in extended form, observed for different targets, makes armadillo repeat proteins attractive candidates for the generation of modular peptide-binding scaffolds.
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