Recently developed bioinformatic tools have bolstered the discovery of ribosomally synthesized and posttranslationally modified peptides (RiPPs). Using an improved version of Rapid ORF Description & Evaluation Online (RODEO 2.0), a biosynthetic gene cluster mining algorithm, we bioinformatically mapped the sactipeptide RiPP class via the radical S-adenosylmethionine (SAM) enzymes that form the characteristic sactionine (sulfur-to-alpha carbon) crosslinks between cysteine and acceptor residues. Hundreds of new sactipeptide biosynthetic gene clusters were uncovered and a novel sactipeptide "huazacin" with growth-suppressive activity against Listeria monocytogenes was characterized. Bioinformatic analysis further suggested that a group of sactipeptide-like peptides heretofore referred to as SCIFFs (six cysteines in forty-five residues) might not be sactipeptides as previously thought. Indeed, the bioinformatically-identified SCIFF

Thiopeptides are members of the ribosomally synthesized and post-translationally modified peptide family of natural products. Most characterized thiopeptides display nanomolar potency toward Gram-positive bacteria by blocking protein translation with several being produced at the industrial scale for veterinary and livestock applications. Employing our custom bioinformatics program, RODEO, we expand the thiopeptide family of natural products by a factor of four. This effort revealed many new thiopeptide biosynthetic gene clusters with products predicted to be distinct from characterized thiopeptides and identified gene clusters for previously characterized molecules of unknown biosynthetic origin. To further validate our data set of predicted thiopeptide biosynthetic gene clusters, we isolated and characterized a structurally unique thiopeptide featuring a central piperidine and rare thioamide moiety. Termed saalfelduracin, this thiopeptide displayed potent antibiotic activity toward several drug-resistant Gram-positive pathogens. A combination of whole-genome sequencing, comparative genomics, and heterologous expression experiments confirmed that the thioamide moiety of saalfelduracin is installed post-translationally by the joint action of two proteins, TfuA and YcaO. These results reconcile the previously unknown origin of the thioamide in two long-known thiopeptides, thiopeptin and Sch 18640. Armed with these new insights into thiopeptide chemical-genomic space, we provide a roadmap for the discovery of additional members of this natural product family.

Deep Learning (DL) has recently enabled unprecedented advances in one of the grand challenges in computational biology: the half-century-old problem of protein structure prediction. In this paper we discuss recent advances, limitations, and future perspectives of DL on five broad areas: protein structure prediction, protein function prediction, genome engineering, systems biology and data integration, and phylogenetic inference. We discuss each application area and cover the main bottlenecks of DL approaches, such as training data, problem scope, and the ability to leverage existing DL architectures in new contexts. To conclude, we provide a summary of the subject-specific and general challenges for DL across the biosciences.

Graspetides are a class of ribosomally synthesized and post-translationally modified peptide natural products featuring ATP-grasp ligase-dependent formation of macrolactones/macrolactams. These modifications arise from serine, threonine, or lysine donor residues linked to aspartate or glutamate acceptor residues. Characterized graspetides include serine protease inhibitors such as the microviridins and plesiocin. Here, we report an update to Rapid ORF Description and Evaluation Online (RODEO) for the automated detection of graspetides, which identified 3,923 high-confidence graspetide biosynthetic gene clusters. Sequence and co-occurrence analyses doubled the number of graspetide groups from 12 to 24, defined based on core consensus sequence and putative secondary modification. Bioinformatic analyses of the ATP-grasp ligase superfamily suggest that extant graspetide synthetases diverged once from an ancestral ATP-grasp ligase and later evolved to introduce a variety of ring connectivities. Furthermore, we characterized thatisin and iso-thatisin, two graspetides related by conformational stereoisomerism from Lysobacter antibioticus. Derived from a newly identified graspetide group, thatisin and iso-thatisin feature two interlocking macrolactones with identical ring connectivity, as determined by a combination of tandem mass spectrometry (MS/MS), methanolytic, and mutational analyses. NMR spectroscopy of thatisin revealed a cis conformation for a key proline residue, while molecular dynamics simulations, solvent-accessible surface area calculations, and partial methanolytic analysis coupled with MS/MS support a trans conformation for iso-thatisin at the same position. Overall, this work provides a comprehensive overview of the graspetide landscape, and the improved RODEO algorithm will accelerate future graspetide discoveries by enabling open-access analysis of existing and emerging genomes.

The RiPP precursor recognition element (RRE) is a conserved domain found in many prokaryotic ribosomally synthesized and post-translationally modified peptide (RiPP) biosynthetic gene clusters (BGCs). RREs bind with high specificity and affinity to a recognition sequence within the N-terminal leader region of RiPP precursor peptides. Lasso peptide biosynthesis involves an RRE-dependent leader peptidase, which is discretely encoded or fused to the RRE as a di-domain protein. Here we leveraged thousands of predicted BGCs to define the RRE:leader peptidase interaction through evolutionary covariance analysis. Each interacting domain contributes a three-stranded β-sheet to form a hydrophobic β-sandwich-like interface. The bioinformaticsguided predictions were experimentally confirmed using proteins from discrete and fused lasso peptide BGC architectures. Support for the domain−domain interface derived from chemical shift perturbation, paramagnetic relaxation enhancement experiments, and rapid variant activity screening using cell-free biosynthesis. Further validation of selected variants was performed with purified proteins. We developed a p-nitroanilide-based leader peptidase assay to illuminate the role of RRE domains. Our data show that RRE domains play a dual function. RRE domains deliver the precursor peptide to the leader peptidase, and the rate is saturable as expected for a substrate. RRE domains also partially compose the elusive S2 proteolytic pocket that binds the penultimate threonine of lasso leader peptides. Because the RRE domain is required to form the active site, leader peptidase activity is greatly diminished when the RRE domain is supplied at substoichiometric levels. Full proteolytic activation requires RRE engagement with the recognition sequence-containing portion of the leader peptide. Together, our observations define a new mechanism for protease activity regulation.