Improving on nature: making a cyclic heptapeptide orally bioavailable

Toward structure prediction of cyclic peptides

Cyclic peptides are a promising class of molecules that can be used to target specific protein-protein interactions. A computational method to accurately predict their structures would substantially advance the development of cyclic peptides as modulators of protein-protein interactions. Here, we develop a computational method that integrates bias-exchange metadynamics simulations, a Boltzmann reweighting scheme, dihedral principal component analysis and a modified density peak-based cluster analysis to provide a converged structural description for cyclic peptides. Using this method, we evaluate the performance of a number of popular protein force fields on a model cyclic peptide. All the tested force fields seem to over-stabilize the α-helix and PPII/β regions in the Ramachandran plot, commonly populated by linear peptides and proteins. Our findings suggest that re-parameterization of a force field that well describes the full Ramachandran plot is necessary to accurately model cyclic peptides.

The experimental power of FR900359 to study Gq-regulated biological processes

Despite the discovery of heterotrimeric αβγ G proteins ∼25 years ago, their selective perturbation by cell-permeable inhibitors remains a fundamental challenge. Here we report that the plant-derived depsipeptide FR900359 (FR) is ideally suited to this task. Using a multifaceted approach we systematically characterize FR as a selective inhibitor of Gq/11/14 over all other mammalian Gα isoforms and elaborate its molecular mechanism of action. We also use FR to investigate whether inhibition of Gq proteins is an effective post-receptor strategy to target oncogenic signalling, using melanoma as a model system. FR suppresses many of the hallmark features that are central to the malignancy of melanoma cells, thereby providing new opportunities for therapeutic intervention. Just as pertussis toxin is used extensively to probe and inhibit the signalling of Gi/o proteins, we anticipate that FR will at least be its equivalent for investigating the biological relevance of Gq.

Cyclic and Macrocyclic Peptides as Chemical Tools To Recognise Protein Surfaces and Probe Protein-Protein Interactions

Targeting protein surfaces and protein-protein interactions (PPIs) with small molecules is a frontier goal of chemical biology and provides attractive therapeutic opportunities in drug discovery. The molecular properties of protein surfaces, including their shallow features and lack of deep binding pockets, pose significant challenges, and as a result have proved difficult to target. Peptides are ideal candidates for this mission due to their ability to closely mimic many structural features of protein interfaces. However, their inherently low intracellular stability and permeability and high in vivo clearance have thus far limited their biological applications. One way to improve these properties is to constrain the secondary structure of linear peptides by cyclisation. Herein we review various classes of cyclic and macrocyclic peptides as chemical probes of protein surfaces and modulators of PPIs. The growing interest in this area and recent advances provide evidence of the potential of developing peptide-like molecules that specifically target these interactions.

Rational, computer-enabled peptide drug design: principles, methods, applications and future directions

Peptides provide promising templates for developing drugs to occupy a middle space between small molecules and antibodies and for targeting 'undruggable' intracellular protein-protein interactions. Importantly, rational or in cerebro design, especially when coupled with validated in silico tools, can be used to efficiently explore chemical space and identify islands of 'drug-like' peptides to satisfy diverse drug discovery program objectives. Here, we consider the underlying principles of and recent advances in rational, computer-enabled peptide drug design. In particular, we consider the impact of basic physicochemical properties, potency and ADME/Tox opportunities and challenges, and recently developed computational tools for enabling rational peptide drug design. Key principles and practices are spotlighted by recent case studies. We close with a hypothetical future case study.

Going Out on a Limb: Delineating The Effects of β-Branching, N-Methylation, and Side Chain Size on the Passive Permeability, Solubility, and Flexibility of Sanguinamide A Analogues

It is well established that intramolecular hydrogen bonding and N-methylation play important roles in the passive permeability of cyclic peptides, but other structural features have been explored less intensively. Recent studies on the oral bioavailability of the cyclic heptapeptide sanguinamide A have raised the question of whether steric occlusion of polar groups via β-branching is an effective, yet untapped, tool in cyclic peptide permeability optimization. We report the structures of 17 sanguinamide A analogues designed to test the relative contributions of β-branching, N-methylation, and side chain size to passive membrane permeability and aqueous solubility. We demonstrate that β-branching has little effect on permeability compared to the effects of aliphatic carbon count and N-methylation of exposed NH groups. We highlight a new N-methylated analogue of sanguinamide A with a Leu substitution at position 2 that exhibits solvent-dependent flexibility and improved permeability over that of the natural product.

Discovering functional, non-proteinogenic amino acid containing, peptides using genetic code reprogramming

The protein synthesis machinery of the cell, the ribosome and associated factors, is able to accurately follow the canonical genetic code, that which maps RNA sequence to protein sequence, to assemble functional proteins from the twenty or so proteinogenic amino acids. A number of innovative methods have arisen to take advantage of this accurate, and efficient, machinery to direct the assembly of non-proteinogenic amino acids. We review and compare these routes to 'reprogram the genetic code' including in vitro translation, engineered aminoacyl tRNA synthetases, and RNA 'flexizymes'. These studies show that the ribosome is highly tolerant of unnatural amino acids, with hundreds of unusual substrates of varying structure and chemistries being incorporated into protein chains. We also discuss how these methods have been coupled to selection techniques, such as phage display and mRNA display, opening up an exciting new avenue for the production of proteins and peptides with properties and functions beyond that which is possible using proteins composed entirely of the proteinogenic amino acids.

Ribosomal Synthesis of Natural-Product-Like Bicyclic Peptides in Escherichia coli

Methods to access natural-product-like macrocyclic peptides can disclose new opportunities for the exploration of this important structural class for chemical biology and drug discovery applications. Here, the scope and mechanism of a novel strategy for directing the biosynthesis of thioether-bridged bicyclic peptides in bacterial cells was investigated. This method entails split intein-catalyzed head-to-tail cyclization of a ribosomally produced precursor peptide, combined with inter-side-chain crosslinking through a genetically encoded cysteine-reactive amino acid. This strategy could be successfully applied to achieve formation of structurally diverse bicyclic peptides with high efficiency and selectivity in Escherichia coli. Insights into the sequence of reactions underlying the peptide bicyclization process were gained from time-course experiments. Finally, the potential utility of this methodology toward the discovery of macrocyclic peptides with enhanced functional properties was demonstrated through the isolation of a bicyclic peptide with sub-micromolar affinity for streptavidin.

Structural analysis of leader peptide binding enables leader-free cyanobactin processing

Regioselective modification of amino acids within the context of a peptide is common to a number of biosynthetic pathways and many such products have potential as therapeutics. The ATP dependent enzyme LynD heterocyclizes multiple cysteine residues to thiazolines within a peptide substrate. The enzyme requires the substrate to have conserved N-terminal leader for full activity. Catalysis is almost insensitive to immediately flanking residues in the substrate suggesting recognition occurs distant from the active site. Nucleotide and peptide substrate co-complex structures of LynD reveal the substrate leader peptide binds to and extends the β-sheet of a conserved domain of LynD, whilst catalysis is accomplished in another conserved domain. The spatial segregation of catalysis from recognition combines seemingly contradictory properties of regioselectivity and promiscuity; it appears to be a conserved strategy in other peptide modifying enzymes. A variant of LynD that efficiently processes substrates without a leader peptide has been engineered.

Beyond cyclosporine A: conformation-dependent passive membrane permeabilities of cyclic peptide natural products

Many cyclic peptide natural products are larger and structurally more complex than conventional small molecule drugs. Although some molecules in this class are known to possess favorable pharmacokinetic properties, there have been few reports on the membrane permeabilities of cyclic peptide natural products. Here, we present the passive membrane permeabilities of 39 cyclic peptide natural products, and interpret the results using a computational permeability prediction algorithm based on their known or calculated 3D conformations. We found that the permeabilities of these compounds, measured in a parallel artificial membrane permeability assay, spanned a wide range and demonstrated the important influence of conformation on membrane permeability. These results will aid in the development of these compounds as a viable drug paradigm.

Exploring experimental and computational markers of cyclic peptides: Charting islands of permeability

An increasing number of macrocyclic peptides that cross biological membranes are being reported, suggesting that it might be possible to develop peptides into orally bioavailable therapeutics; however, current understanding of what makes macrocyclic peptides cell permeable is still limited. Here, we synthesized 62 cyclic hexapeptides and characterized their permeability using in vitro assays commonly used to predict in vivo absorption rates, i.e. the Caco-2 and PAMPA assays. We correlated permeability with experimentally measured parameters of peptide conformation obtained using rapid methods based on chromatography and nuclear magnetic resonance spectroscopy. Based on these correlations, we propose a model describing the interplay between peptide permeability, lipophilicity and hydrogen bonding potential. Specifically, peptides with very high permeability have high lipophilicity and few solvent hydrogen bond interactions, whereas peptides with very low permeability have low lipophilicity or many solvent interactions. Our model is supported by molecular dynamics simulations of the cyclic peptides calculated in explicit solvent, providing a structural basis for the observed correlations. This prospective exploration into biomarkers of peptide permeability has the potential to unlock wider opportunities for development of peptides into drugs.