Designed Armadillo repeat proteins: library generation, characterization and selection of peptide binders with high specificity.

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. Structural considerations were used to replace cysteine residues, to define less conserved positions and to decide where to introduce randomized amino acid residues for potential interactions with the target peptide. Based on these concepts, combinatorial libraries of designed ArmRPs were assembled. The most stable version of designed ArmRP in library format was the N5C format, with three randomized library repeat modules flanked by full consensus repeat modules on either side and, in turn, flanked by N- and C-terminal capping repeats. Unselected members of this library were well expressed in the Escherichia coli cytoplasm, monomeric and showed the expected CD spectra and cooperative unfolding. N5C libraries were used in ribosome display selections against the peptide neurotensin. Highly specific peptide binders were enriched after four rounds of selections using ribosome display. Four peptide side chains were shown to contribute most of the interaction energy, and single alanine mutants could be discriminated. Thus, designed ArmRP libraries can become valuable sources for peptide binding molecules because of their favorable biophysical properties and with a potential for application in general modular peptide recognition.

Optimization of designed armadillo repeat proteins by molecular dynamics simulations and NMR spectroscopy.

A 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. Heteronuclear NMR revealed unfavorable interactions present at neutral but absent at high pH. Two lysines per repeat were involved in repulsive interactions, and stability was increased by mutating both to glutamine. Five point mutations in the capping repeats were suggested by the analysis of positional fluctuations and configurational entropy along multiple MD simulations. The most stabilizing single C-cap mutation Q240L was inferred from explicit solvent MD simulations, in which water penetrated the ArmRP. All mutants were characterized by temperature- and denaturant-unfolding studies and the improved mutants were established as monomeric species with cooperative folding and increased stability against heat and denaturant. Importantly, the mutations tested resulted in a cumulative decrease of flexibility of the folded state in silico and a cumulative increase of thermodynamic stability in vitro. The final construct has a melting temperature of about 85°C, 14.5° higher than the starting sequence. This work indicates that in silico studies in combination with heteronuclear NMR and other biophysical tools may provide a basis for successfully selecting mutations that rapidly improve biophysical properties of the target proteins.

Structure-based optimization of designed Armadillo-repeat proteins.

The 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. We determined the crystal structures of four full-consensus ArmRPs with three or four identical internal repeats and two different designs for the N- and C-caps. The crystal structures were refined at resolutions ranging from 1.80 to 2.50 Å for the above mentioned designs. A redesign of our initial caps was required to obtain well diffracting crystals. However, the structures with the redesigned caps caused domain swapping events between the N-caps. To prevent this domain swap, 9 and 6 point mutations were introduced in the N- and C-caps, respectively. Structural and biophysical analysis showed that this subsequent redesign of the N-cap prevented domain swapping and improved the thermodynamic stability of the proteins. We systematically investigated the best cap combinations. We conclude that designed ArmRPs with optimized caps are intrinsically stable and well-expressed monomeric proteins and that the high-resolution structures provide excellent structural templates for the continuation of the design of sequence-specific modular peptide recognition units based on armadillo repeats.

Designed armadillo repeat proteins as general peptide-binding scaffolds: consensus design and computational optimization of the hydrophobic core.

Armadillo 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. Taking advantage of the large number of repeat sequences available, a consensus-based approach combined with a force field-based optimization of the hydrophobic core was used to derive soluble, highly expressed, stable, monomeric designed proteins with improved characteristics compared to natural armadillo proteins. These sequences constitute the starting point for the generation of designed armadillo repeat protein libraries for the selection of peptide binders, exploiting their modular structure and their conserved binding mode.