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Peptidogenomics approaches to study peptidic molecules from unsequenced microbes and that observed from imaging mass spectrometry


Genome mining has become an invaluable approach in aiding the discovery of peptide natural products; a large and diverse group of potentially bioactive molecules. Here we propose nanoDESI based MS/MS networking to map the searchable molecular universe of a large number of strains. The organization of the molecular universe via MS /MS networking enables molecular family guided genome mining to connect NRPS molecular families produced by unsequenced organisms to candidate gene cluster families found in publicly available genome databases. As proof-of- principle, we collected nanoDESI MS/MS data on 42 bacilli and 17 pseudomonads and used molecular MS/MS networking to identify the peptidic products through generation of amino acid sequence tags from the MS/MS data. Furthermore, we use these studied dataset to identify unknown molecules from unsequenced microbes

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