Molecular modeling and rational design of disulfide-stapled self-inhibitory peptides to target IL-17A/IL-17RA interaction

Interleukin-17A (IL-17A) is a pro-inflammatory cytokine implicated in diverse autoimmune and inflammatory disorders such as psoriasis and Kawasaki disease. Mature IL-17A is a homodimer that binds to the extracellular type-III fibronectin D1:D2-dual domain of its cognate IL-17 receptor A (IL-17RA). In this study, we systematically examined the structural basis, thermodynamics property, and dynamics behavior of IL-17RA/IL-17A interaction and computationally identified two continuous hotspot regions separately from different monomers of IL-17A homodimer that contribute significantly to the interaction, namely I-shaped and U-shaped segments, thus rendered as a peptide-mediated protein-protein interaction (PmPPI). Self-inhibitory peptides (SIPs) are derived from the two segments to disrupt IL-17RA/IL-17A interaction by competitively rebinding to the IL-17A-binding pocket on IL-17RA surface, which, however, only have a weak affinity and low specificity for IL-17RA due to lack of the context support of intact IL-17A protein, thus exhibiting a large flexibility and intrinsic disorder when splitting from the protein context and incurring a considerable entropy penalty when rebinding to IL-17RA. The U-shaped segment is further extended, mutated and stapled by a disulfide bridge across its two strands to obtain a number of double-stranded cyclic SIPs, which are partially ordered and conformationally similar to their native status at IL-17RA/IL-17A complex interface. Experimental fluorescence polarization assays substantiate that the stapling can moderately or considerably improve the binding affinity of U-shaped segment-derived peptides by 2-5-fold. In addition, computational structural modeling also reveals that the stapled peptides can bind in a similar mode with the native crystal conformation of U-shaped segment in IL-17RA pocket, where the disulfide bridge is out of the pocket for avoiding intervene of the peptide binding.

Derivation of Self-inhibitory Helical Peptides to Target Rho-kinase Dimerization in Cerebrovascular Malformation: Structural Bioinformatics Analysis and Peptide Binding Assay

Rho-kinase dimerization is essential for its kinase activity and biological function; disruption of the dimerization has recently been established as a new and promising therapeutics strategy for cerebrovascular malformation (CM). Based on Rho-kinase dimer crystal structure we herein combined in silico analysis and in vitro assay to rationally derive self-inhibitory peptides from the dimerization interface. Three peptides namely Hlp1, Hlp2 and Hlp3 were successfully designed that have potential capability to rebind at the dimerization domain of Rho-kinase. Molecular dynamics (MD) simulations revealed that these peptides are helically structured when bound to Rho-kinase, but exhibit partially intrinsic disorder in unbound state. Binding free energy (BFE) analysis suggested that the peptides have a satisfactory energetic profile to interact with Rho-kinase. The computational findings were then substantiated by fluorescence anisotropy assays, conforming that the helical peptides can bind tightly to Rho-kinase with affinity KD at micromolar level. These designed peptides are considered as lead molecular entities that can be further modified and optimized to obtain more potent peptidomimetics as self-competitors to disrupt Rho-kinase dimerization in CM.