Deep Learning-Driven Library Design for the 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.

Solid-Phase-Based Synthesis of Lactazole-Like Thiopeptides.

A strategy for the synthesis of de novo discovered lactazole-like thiopeptides is reported. The approach revolves around a convergent and scalable preparation of the central triheterocyclic amino acid and its utilization in Fmoc solid-phase peptide synthesis for modular peptide chain assembly. A technique for preparing C-terminally functionalized thiopeptides for biological studies is also described.

De Novo Discovery of Thiopeptide Pseudo-natural Products Acting as Potent and Selective TNIK Kinase Inhibitors.

Bioengineering of ribosomally synthesized and post-translationally modified peptides (RiPPs) is an emerging approach to explore the diversity of pseudo-natural product structures for drug discovery purposes. However, despite the initial advances in this area, bioactivity reprogramming of multienzyme RiPP biosynthetic pathways remains a major challenge. Here, we report a platform for de novo discovery of functional thiopeptides based on reengineered biosynthesis of lactazole A, a RiPP natural product assembled by five biosynthetic enzymes.

Accurate Models of Substrate Preferences of Post-Translational Modification Enzymes from a Combination of mRNA Display and Deep Learning.

Promiscuous post-translational modification (PTM) enzymes often display nonobvious substrate preferences by acting on diverse yet well-defined sets of peptides and/or proteins. Understanding of substrate fitness landscapes for PTM enzymes is important in many areas of contemporary science, including natural product biosynthesis, molecular biology, and biotechnology. Here, we report an integrated platform for accurate profiling of substrate preferences for PTM enzymes.

Accurate Broadcasting of Substrate Fitness for Lactazole Biosynthetic Pathway from Reactivity-Profiling mRNA Display.

We report a method for the high-throughput reactivity profiling of genetically encoded libraries as a tool to study substrate fitness landscapes for RiPP (ribosomally synthesized and post-translationally modified peptide) biosynthetic enzymes. This method allowed us to rapidly analyze the substrate preferences of the lactazole biosynthetic pathway using a saturation mutagenesis mRNA display library of lactazole precursor peptides. We demonstrate that the assay produces accurate and reproducible in vitro data, enabling the quantification of reaction yields with temporal resolution.