Partially Modified Peptide Intermediates in Lanthipeptide Biosynthesis Alter the Structure and Dynamics of a Lanthipeptide Synthetase

Using LanM Enzymes to Modify Glucagon-Like Peptides 1 and 2 in E.coli

Selective modification of peptides is often exploited to improve pharmaceutically relevant properties of bioactive peptides like stability, circulation time, and potency. In Nature, natural products belonging to the class of ribosomally synthesized and post-translationally modified peptides (RiPPs) are known to install a number of highly attractive modifications with high selectivity. These modifications are installed by enzymes guided to the peptide by corresponding leader peptides that are removed as the last step of biosynthesis. Here, we exploit leader peptides and their matching enzymes to investigate the installation of D-Ala post-translationally in a critical position in the hormones, glucagon-like peptides (GLP) 1 and 2. We also offer insight into how precursor peptide design can modulate the modification pattern achieved.

A Compact Reprogrammed Genetic Code for De Novo Discovery of Proteolytically Stable Thiopeptides

Thiopeptides make up a group of structurally complex peptidic natural products holding promise in bioengineering applications. The previously established thiopeptide/mRNA display platform enables de novo discovery of natural product-like thiopeptides with designed bioactivities. However, in contrast to natural thiopeptides, the discovered structures are composed predominantly of proteinogenic amino acids, which results in low metabolic stability in many cases. Here, we redevelop the platform and demonstrate that the utilization of compact reprogrammed genetic codes in mRNA display libraries can lead to the discovery of thiopeptides predominantly composed of nonproteinogenic structural elements. We demonstrate the feasibility of our designs by conducting affinity selections against Traf2- and NCK-interacting kinase (TNIK). The experiment identified a series of thiopeptides with high affinity to the target protein (the best KD = 2.1 nM) and kinase inhibitory activity (the best IC50 = 0.15 μM). The discovered compounds, which bore as many as 15 nonproteinogenic amino acids in an 18-residue macrocycle, demonstrated high metabolic stability in human serum with a half-life of up to 99 h. An X-ray cocrystal structure of TNIK in complex with a discovered thiopeptide revealed how nonproteinogenic building blocks facilitate the target engagement and orchestrate the folding of the thiopeptide into a noncanonical conformation. Altogether, the established platform takes a step toward the discovery of thiopeptides with high metabolic stability for early drug discovery applications.

Development and Challenges of Cyclic Peptides for Immunomodulation

Cyclic peptides are polypeptide chains formed by cyclic sequences of amide bonds between protein-derived or non-protein-derived amino acids. Compared to linear peptides, cyclic peptides offer several unique advantages, such as increased stability, stronger affinity, improved selectivity, and reduced toxicity. Cyclic peptide has been proved to have a promising application prospect in the medical field. In addition, this paper mainly describes that cyclic peptides play an important role in anti-cancer, anti-inflammatory, anti-virus, treatment of multiple sclerosis and membranous nephropathy through immunomodulation. In order to know more useful information about cyclic peptides in clinical research and drug application, this paper also summarizes cyclic peptides currently in the clinical trial stage and cyclic peptide drugs approved for marketing in the recent five years. Cyclic peptides have many advantages and great potential in treating various diseases, but there are still many challenges to be solved in the development process of cyclic peptides.

Deep Learning-Driven Library Design for the De Novo Discovery of Bioactive Thiopeptides

Broad substrate tolerance of ribosomally synthesized and post-translationally modified peptide (RiPP) biosynthetic enzymes has allowed numerous strategies for RiPP engineering. However, despite relaxed specificities, exact substrate preferences of RiPP enzymes are often difficult to pinpoint. Thus, when designing combinatorial libraries of RiPP precursors, balancing the compound diversity with the substrate fitness can be challenging. Here, we employed a deep learning model to streamline the design of mRNA display libraries. Using an in vitro reconstituted thiopeptide biosynthesis platform, we performed mRNA display-based profiling of substrate fitness for the biosynthetic pathway involving five enzymes to train an accurate deep learning model. We then utilized the model to design optimal mRNA libraries and demonstrated their utility in affinity selections against IRAK4 kinase and the TLR10 cell surface receptor. The selections led to the discovery of potent thiopeptide ligands against both target proteins (KD up to 1.3 nM for the best compound against IRAK4 and 300 nM for TLR10). The IRAK4-targeting compounds also inhibited the kinase at single-digit μM concentrations in vitro, exhibited efficient internalization into HEK293H cells, and suppressed NF-kB-mediated signaling in cells. Altogether, the developed approach streamlines the discovery of pseudonatural RiPPs with de novo designed biological activities and favorable pharmacological properties.

Discovery, Function, and Engineering of Graspetides

Graspetides are a class of RiPPs (ribosomally synthesized and post-translationally modified peptides) defined by the presence of ester or amide side chain-side chain linkages resulting in peptide macrocycles. The graspetide name comes from the ATP-grasp enzymes that install the side chain-side chain linkages. This review covers the early, activity-based isolation of the first graspetides, marinostatins and microviridins, as well as the key genomics-driven experiments that established graspetide as RiPPs. The mechanism and structure of graspetide-associated ATP-grasp enzymes is discussed. Genome mining methods to discover new graspetides as well as the analytical techniques used to determine the linkages in graspetides are described. Extant knowledge on the bioactivity of graspetides as protease inhibitors is reviewed. Further chemical modifications to graspetides as well graspetide engineering studies are also described. We conclude with several suggestions about future directions of graspetide research.

The conformationally dynamic structural biology of lanthipeptide biosynthesis

Lanthipeptide synthetases are fascinating biosynthetic enzymes that install intramolecular thioether bridges into genetically encoded peptides, typically endowing the peptide with therapeutic properties. The factors that control the macrocyclic topology of lanthipeptides are numerous and remain difficult to predict and manipulate. The key challenge in this endeavor derives from the vast conformational space accessible to the disordered precursor lanthipeptide, which can be manipulated in subtle ways by interaction with the cognate synthetase. This review explores the unique strategies employed by each of the five phylogenetically divergent classes of lanthipeptide synthetase to manipulate and exploit the dynamic lanthipeptide conformational ensemble, collectively enabling these biosynthetic enzymes to guide peptide maturation along specific trajectories to products with distinct macrocyclic topology and biological activity.

Sequence controlled secondary structure is important for the site-selectivity of lanthipeptide cyclization

Lanthipeptides are ribosomally synthesized and post-translationally modified peptides that are generated from precursor peptides through a dehydration and cyclization process. ProcM, a class II lanthipeptide synthetase, demonstrates high substrate tolerance. It is enigmatic that a single enzyme can catalyze the cyclization process of many substrates with high fidelity. Previous studies suggested that the site-selectivity of lanthionine formation is determined by substrate sequence rather than by the enzyme. However, exactly how substrate sequence contributes to site-selective lanthipeptide biosynthesis is not clear. In this study, we performed molecular dynamic simulations for ProcA3.3 variants to explore how the predicted solution structure of the substrate without enzyme correlates to the final product formation. Our simulation results support a model in which the secondary structure of the core peptide is important for the final product's ring pattern for the substrates investigated. We also demonstrate that the dehydration step in the biosynthesis pathway does not influence the site-selectivity of ring formation. In addition, we performed simulation for ProcA1.1 and 2.8, which are well-suited candidates to investigate the connection between order of ring formation and solution structure. Simulation results indicate that in both cases, C-terminal ring formation is more likely which was supported by experimental results. Our findings indicate that the substrate sequence and its solution structure can be used to predict the site-selectivity and order of ring formation, and that secondary structure is a crucial factor influencing the site-selectivity. Taken together, these findings will facilitate our understanding of the lanthipeptide biosynthetic mechanism and accelerate bioengineering efforts for lanthipeptide-derived products.

Mechanistic Analysis of the Biosynthesis of the Aspartimidylated Graspetide Amycolimiditide

Several classes of ribosomally synthesized and post-translationally modified peptides (RiPPs) are composed of multiple macrocycles. The enzymes that assemble these macrocycles must surmount the challenge of installing a single specific set of linkages out of dozens of distinct possibilities. One class of RiPPs that includes multiple macrocycles are the graspetides, named after the ATP-grasp enzymes that install ester or amide linkages between pairs of nucleophilic and electrophilic side chains. Here, using heterologous expression and NMR spectroscopy, we characterize the connectivity and structure of amycolimiditide, a 29 aa graspetide with a stem-loop structure. The stem includes four esters and extends over 20 Å. The loop of amycolimiditide is distinguished by the presence of an aspartimide moiety, installed by a dedicated O-methyltransferase enzyme. We further characterize the biosynthesis of amycolimiditide in vitro, showing that the amycolimiditide ATP-grasp enzyme AmdB operates in a strict vectorial manner, installing esters starting at the loop and proceeding down the stem. Surprisingly, the O-methyltransferase AmdM that aspartimidylates amycolimiditide prefers a substrate with all four esters installed, despite the fact that the most distal ester is ∼30 Å away from the site of aspartimidylation. This study provides insights into the structure and diversity of aspartimidylated graspetides and also provides fresh insights into how RiPP biosynthetic enzymes engage their peptide substrates.

Exploring the Heterogeneous Structural Dynamics of Class II Lanthipeptide Synthetases with Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS)

Class II lanthipeptide synthetases (LanM enzymes) catalyze the installation of multiple thioether bridges into genetically encoded peptides to produce macrocyclic lanthipeptides, a class of biologically active natural products. Collectively, LanM enzymes install thioether rings of different sizes, topologies, and stereochemistry into a vast array of different LanA precursor peptide sequences. The factors that govern the outcome of the LanM-catalyzed reaction cascade are not fully characterized but are thought to involve both intermolecular interactions and intramolecular conformational changes in the [LanM:LanA] Michaelis complex. To test this hypothesis, we have combined AlphaFold modeling with hydrogen-deuterium exchange mass spectrometry (HDX-MS) analysis of a small collection of divergent LanM/LanA systems to investigate the similarities and differences in their conformational dynamic properties. Our data indicate that LanA precursor peptide binding triggers relatively conserved changes in the structural dynamics of the LanM dehydratase domain, supporting the existence of a similar leader peptide binding mode across the LanM family. In contrast, changes induced in the dynamics of the LanM cyclase domain were more highly variable between enzymes, perhaps reflecting different peptide-cyclase interactions and/or different modes of allosteric activation in class II lanthipeptide biosynthesis. Our analysis highlights the ability of the emerging AlphaFold platform to predict protein-peptide interactions that are supported by other lines of experimental evidence. The combination of AlphaFold modeling with HDX-MS analysis should emerge as a useful approach for investigating other conformationally dynamic enzymes involved in peptide natural product biosynthesis.