{"id":128,"date":"2024-10-14T19:25:57","date_gmt":"2024-10-14T19:25:57","guid":{"rendered":"https:\/\/lab.prd.vanderbilt.edu\/mitchell-lab\/?page_id=128"},"modified":"2026-04-08T08:03:40","modified_gmt":"2026-04-08T14:03:40","slug":"research","status":"publish","type":"page","link":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/research\/","title":{"rendered":"Research Overview"},"content":{"rendered":"<p>In the hunt for improved antibiotics, it is important to realize that natural products have been, without question, <a href=\"http:\/\/www.sciencemag.org\/content\/325\/5937\/161.abstract\" target=\"_blank\" rel=\"noopener\">the most prolific source of all medicines<\/a>. With the advent of massively parallel DNA sequencing, it has become apparent that our knowledge of natural product structure and function is astonishingly incomplete. Exploration of uncharted natural product chemical space will undoubtedly lead to improved, and entirely new, medicines. Thus, our group focuses on elucidating the biosynthesis, structure, and function of natural products.<\/p>\n<p>Our primary focus has been on <a href=\"http:\/\/pubs.rsc.org\/en\/Content\/ArticleLanding\/2013\/NP\/C2NP20085F#!divAbstract\" target=\"_blank\" rel=\"noopener\">thiazole\/oxazole-containing peptides<\/a>. Characterized examples have activities ranging from <a href=\"http:\/\/en.wikipedia.org\/wiki\/Plantazolicin\" target=\"_blank\" rel=\"noopener\">antibacterials<\/a> to <a href=\"http:\/\/www.nature.com\/nrmicro\/journal\/v9\/n9\/full\/nrmicro2624.html\" target=\"_blank\" rel=\"noopener\">virulence-promoting toxins<\/a>. Therefore, the study of these peptidic natural products allows us to not only better understand bacterial virulence (where pharmacological intervention would constitute a pathogen-specific approach to bacterial infection) but also explore unique chemical architectures, ideally positioning us to introduce new structural classes of antibiotics. Our recent successes and focal areas are highlighted below by research project.<\/p>\n<hr \/>\n<p><!-- Current project --><\/p>\n<h4>Lasso Peptides<\/h4>\n<table style=\"width: 100%;border-collapse: collapse;margin-bottom: 25px\">\n<tbody>\n<tr><!-- LEFT: text --><\/p>\n<td style=\"width: 60%;vertical-align: top;text-align: justify;padding-right: 20px\">Lasso peptides are ribosomally synthesized natural products distinguished by a unique knotted topology that confers exceptional stability and protease resistance. The Mitchell Lab has pioneered genome-wide discovery of lasso peptides, revealing thousands of previously unrecognized systems and dramatically expanding the known sequence space of this family. Through a combination of bioinformatics, biochemical reconstitution, and enzyme engineering, we have uncovered remarkable biosynthetic flexibility that enables the creation of customized, non-natural lasso peptides. These efforts position lasso peptides as versatile scaffolds for molecular engineering and therapeutic development.<\/td>\n<p><!-- RIGHT: image --><\/p>\n<td style=\"width: 40%;vertical-align: top;text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"max-width: 100%;height: auto\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/224\/2025\/12\/Screenshot-2025-12-22-at-6.15.28%E2%80%AFPM.png\" alt=\"Diagram of lasso peptide biosynthesis: a linear precursor peptide is shown with a leader region (gray) and core region (black). The pathway highlights enzyme involvement, including a lasso cyclase and peptidase components. Two processing steps are labeled\u2014(1) leader cleavage and (2) cyclization resulting in a folded lasso peptide structure on the right, where the peptide forms a looped, threaded conformation with a macrolactam linkage.\" width=\"1970\" height=\"844\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!-- Current project --><\/p>\n<h4>YcaO Enzymes<\/h4>\n<table style=\"width: 100%;border-collapse: collapse;margin-bottom: 25px\">\n<tbody>\n<tr><!-- LEFT: text --><\/p>\n<td style=\"width: 60%;vertical-align: top;text-align: justify;padding-right: 20px\">Our lab investigates YcaO enzymes, a widespread and versatile family of peptide-modifying enzymes that catalyze chemically unusual transformations on peptide backbones. By combining structural biology, biochemistry, and genetics, we have shown that YcaOs function as main-chain-modifying kinases capable of installing diverse modifications, including heterocycles and thioamides. These seemingly subtle chemical changes can profoundly alter peptide structure, stability, and biological function. With tens of thousands of YcaO homologs encoded across microbial genomes, defining their functions and biological roles remains a central focus of the lab.<\/td>\n<p><!-- RIGHT: image --><\/p>\n<td style=\"width: 40%;vertical-align: top;text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"max-width: 100%;height: auto\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/224\/2025\/10\/250930_daptides_SRD.jpeg\" alt=\"Schematic illustrating chemical and substrate diversity in peptide modification pathways. The top section highlights types of enzymatic modifications\u2014decarboxylation, transamination, methylation, and heterocyclization\u2014applied to peptide substrates. The center shows a representative intermediate structure labeled \u201cdiverse modifications.\u201d The bottom section depicts different substrate types, including shortened peptides, leader-free peptides, non-native peptides, and protein substrates, emphasizing the system\u2019s flexibility in processing varied inputs.\" width=\"936\" height=\"504\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!-- Current project --><\/p>\n<h4>RiPP Display<\/h4>\n<table style=\"width: 100%;border-collapse: collapse;margin-bottom: 25px\">\n<tbody>\n<tr><!-- LEFT: text --><\/p>\n<td style=\"width: 60%;vertical-align: top;text-align: justify;padding-right: 20px\">Ribosomally synthesized and post-translationally modified peptides (RiPPs) offer a rich and largely untapped source of structurally constrained scaffolds for drug discovery. Building on the growing success of peptide therapeutics, the Mitchell Lab is adapting high-throughput display technologies to evolve RiPP-derived molecules against therapeutically relevant targets. By linking peptide biosynthesis to large combinatorial libraries, these approaches enable the discovery of new bioactive compounds while simultaneously probing enzyme substrate tolerance at unprecedented scale. This strategy bridges natural product biosynthesis with modern directed evolution to explore previously undruggable biological space.<\/td>\n<p><!-- RIGHT: image --><\/p>\n<td style=\"width: 40%;vertical-align: top;text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"max-width: 100%;height: auto\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/224\/2025\/02\/Generic-RiPP-Display-Website.png\" alt=\"Workflow diagram of a RiPP display and selection platform. A highly diverse DNA library (&gt;10\u00b9\u00b2 variants) is translated into peptide\u2013mRNA conjugates containing a leader peptide, variable core, and puromycin linker. These constructs undergo RiPP biosynthesis to generate modified peptides, followed by affinity selection against an immobilized target. Bound sequences are recovered via cDNA synthesis and sequenced (NovaSeqX) to identify hits, enabling iterative characterization and enrichment of functional peptides.\" width=\"986\" height=\"405\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!-- Current project --><\/p>\n<h4>RiPP Recognition Element<\/h4>\n<table style=\"width: 100%;border-collapse: collapse;margin-bottom: 25px\">\n<tbody>\n<tr><!-- LEFT: text --><\/p>\n<td style=\"width: 60%;vertical-align: top;text-align: justify;padding-right: 20px\">The RiPP Recognition Element (RRE) is a peptide-binding domain that plays a central role in directing post-translational modification during RiPP biosynthesis. Our work established the RRE as a widespread and unifying feature across diverse RiPP classes, despite minimal sequence similarity. By elucidating how RREs recognize precursor peptides and activate biosynthetic enzymes, we have uncovered fundamental principles governing RiPP assembly. Leveraging these insights, we use RRE-guided genome mining to discover entirely new RiPP pathways and enzymatic chemistries.<\/td>\n<p><!-- RIGHT: image --><\/p>\n<td style=\"width: 40%;vertical-align: top;text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"max-width: 70%;height: auto\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/224\/2025\/02\/RRE_1.png\" alt=\"Structural model of a RiPP recognition element (RRE) protein (blue) bound to a leader peptide (purple). The protein is shown as a ribbon diagram with alpha helices and beta sheets, while the leader peptide traces along the protein surface, interacting within a binding groove. Key side chains at the interface are highlighted, illustrating specific contacts between the peptide and the RRE.\" width=\"1501\" height=\"1280\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!-- Current project --><\/p>\n<h4>RODEO<\/h4>\n<table style=\"width: 100%;border-collapse: collapse;margin-bottom: 25px\">\n<tbody>\n<tr><!-- LEFT: text --><\/p>\n<td style=\"width: 60%;vertical-align: top;text-align: justify;padding-right: 20px\">To accelerate natural product discovery in the era of large-scale genome sequencing, the Mitchell Lab developed RODEO, a bioinformatics platform that automates genome mining and prioritization of ribosomally synthesized natural products. RODEO integrates motif analysis, heuristic scoring, and machine learning to identify and visualize biosynthetic gene clusters across diverse RiPP classes. Beyond prediction, our lab experimentally validates and characterizes new molecules and enzymes uncovered by these analyses. Together, these efforts combine computation and experiment to systematically expand natural product diversity and uncover new biochemical transformations.<\/td>\n<p><!-- RIGHT: image --><\/p>\n<td style=\"width: 40%;vertical-align: top;text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"max-width: 100%;height: auto\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/224\/2025\/02\/RODEO_1.jpg\" alt=\"Diagram of a bioinformatics workflow for RiPP discovery using RODEO. Genomic database sequences are input and analyzed through RODEO, which performs open reading frame (ORF) annotation and module scoring using approaches such as genomic data, heuristic scoring, and machine learning. The outputs inform downstream biochemical validation and bioinformatic characterization, including spectral analysis and gene cluster organization.\" width=\"624\" height=\"272\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>In the hunt for improved antibiotics, it is important to realize that natural products have been, without question, the most prolific source of all medicines. With the advent of massively parallel DNA sequencing, it has become apparent that our knowledge of natural product structure and function is astonishingly incomplete. Exploration of uncharted natural product chemical&#8230;<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page_onecolumn.php","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"tags":[],"class_list":["post-128","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/pages\/128","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/comments?post=128"}],"version-history":[{"count":14,"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/pages\/128\/revisions"}],"predecessor-version":[{"id":913,"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/pages\/128\/revisions\/913"}],"wp:attachment":[{"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/media?parent=128"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/mitchell-lab\/wp-json\/wp\/v2\/tags?post=128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}