grant

Bioinformatic Guided Discovery and Characterization of New RiPP Natural Products

Organization UNIVERSITY OF NORTH CAROLINA GREENSBOROLocation GREENSBORO, UNITED STATESPosted 1 Aug 2022Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025Antibiotic AgentsAntibiotic DrugsAntibioticsArtemisininsBiochemicalBioinformaticsComplementComplement ProteinsDevelopmentDrugsElementsEngineeringEnzyme GeneEnzymesFamilyFinding natural productsFutureGene ClusterGenomeHealthHumanLeadLifeLinkLogicMedicationMethodologyMiningMiscellaneous AntibioticModern ManModern MedicineNatural ProductsNatural product discoveryNatureOrganismPathway interactionsPb elementPenicillinsPeptidesPharmaceutical PreparationsPostdocPostdoctoral FellowProcessResearch AssociateRibosomesScientistTechniquesTrainingTreesarteannuinartemisininebioactive natural productscomplementationdevelopmentaldrug/agentgraduate studentguided discoveryguided inquiryheavy metal Pbheavy metal leadin silicoinsightinterdisciplinary approachliving systemmultidisciplinary approachnaturally occurring productnew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generationnext generation therapeuticsnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel therapeuticsnovel therapypathwaypeptide based natural productspeptide natural productspost-docpost-doctoralpost-doctoral traineeqinghaosuquing hau sauquinghaosuresearch associatessecondary metabolite
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Full Description

PROJECT SUMMARY
Ranging from penicillin to artemisinin, natural products have been essential in the discovery and

development of new drugs. To complement the traditional activity-guided isolation approaches, genome mining

techniques can enable an efficient and high throughput discovery pipeline by specifically targeting promising

organisms and gene clusters for detailed study. However, detailed understanding of a biosynthetic pathway is

typically needed, significantly constraining the search process. Therefore, alternative bioinformatic approaches

combined with detailed biochemical characterization and bioactivity studies will help expand our collective

understanding of bioactive secondary metabolites in nature and their value for human health.

The overall focus of the Chekan lab is to utilize enzyme-independent genome mining as a guide to enable

the discovery and detailed study of new types of bioactive natural products and biosynthetic pathways. This

proposal focuses on the ribosomally synthesized and post-translationally modified peptide (RiPP) family of

natural products. RiPPs are a ubiquitous family of natural products found across all domains of life and possess

a wide range of bioactivities, with antibiotic activity being particularly well represented. These natural products

all share a consistent biosynthetic logic, but can be generated from a wide variety of biosynthetic enzymes. In

order to discover completely new classes of RiPPs, we propose to exploit conserved biosynthetic and structural

features instead of specific enzymatic transformations. This will allow for rapid in silico identification of promising

biosynthetic gene clusters that generate never before isolated molecules. To fully study and characterize these

new pathways, a combination of biochemical and structural approaches will be employed. These results will give

important insights into the new biosynthetic enzymes, reveal their mechanisms, and assess their applicability for

engineering. Finally, this first project will reveal the bioactivity of the newly discovered natural products and their

mechanism of action. To complement this discovery element, a second project will seek to link peptidic natural

product families, for which no biosynthetic information is available, to their biosynthetic enzymes. This proposal

will also enable the training of both graduate students and postdocs, the next generation of scientists responsible

for advancing human health. Overall, the results of this proposal will not only lead to the discovery of new natural

products and enzymes, but will inform future genome mining based discovery studies and pathway engineering

efforts to identify promising drug leads.

Grant Number: 5R35GM147439-04
NIH Institute/Center: NIH

Principal Investigator: Jonathan Chekan

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