Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR.

Peptides and proteins containing non-canonical amino acids (ncAAs) are a large and important class of biopolymers. They include non-ribosomally synthesised peptides, post-translationally modified proteins, expressed or synthesised proteins containing unnatural amino acids, and peptides and proteins that are chemically modified. Here, we describe a general procedure for generating atomic descriptions required to incorporate ncAAs within popular NMR structure determination software such as CYANA, CNS, Xplor-NIH and ARIA. This procedure is made publicly available via the existing Automated Topology Builder (ATB) server (https://atb.uq.edu.au, last access: 17 February 2023) with all submitted ncAAs stored in a dedicated database. The described procedure also includes a general method for linking of side chains of amino acids from CYANA templates. To ensure compatibility with other systems, atom names comply with IUPAC guidelines. In addition to describing the workflow, 3D models of complex natural products generated by CYANA are presented, including vancomycin. In order to demonstrate the manner in which the templates for ncAAs generated by the ATB can be used in practice, we use a combination of CYANA and CNS to solve the structure of a synthetic peptide designed to disrupt Alzheimer-related protein-protein interactions. Automating the generation of structural templates for ncAAs will extend the utility of NMR spectroscopy to studies of more complex biomolecules, with applications in the rapidly growing fields of synthetic biology and chemical biology. The procedures we outline can also be used to standardise the creation of structural templates for any amino acid and thus have the potential to impact structural biology more generally.

Comprehensive Peptide Cyclization Examination Yields Optimized APP Scaffolds with Improved Affinity toward Mint2.

Peptides targeting disease-relevant protein-protein interactions are an attractive class of therapeutics covering the otherwise undruggable space between small molecules and therapeutic proteins. However, peptides generally suffer from poor metabolic stability and low membrane permeability. Hence, peptide cyclization has become a valuable approach to develop linear peptide motifs into metabolically stable and potentially cell-permeable cyclic leads. Furthermore, cyclization of side chains, also known as "stapling", can stabilize particular secondary peptide structures. Here, we demonstrate that a comprehensive examination of cyclization strategies in terms of position, chemistry, and length is a prerequisite for the selection of optimal cyclic peptide scaffolds. Our systematic approach identifies cyclic APP dodecamer peptides targeting the phosphotyrosine binding domain of Mint2 with substantially improved affinity. We show that especially all-hydrocarbon stapling provides improved metabolic stability, a significantly stabilized secondary structure and membrane permeability.