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| http://dx.doi.org/10.1016/j.imlet.2022.07.002 | DOI Listing |
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Analyzing microbial samples remains computationally challenging due to their diversity and complexity. The lack of robust de novo protein function prediction methods exacerbates the difficulty in deriving functional insights from these samples. Traditional prediction methods, dependent on homology and sequence similarity, often fail to predict functions for novel proteins and proteins without known homologs.
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Kitasatospora continue to be a rich source of chemically diverse and bioactive peptide natural products. This review highlights two strategies in peptide natural products research of Kitasatospora, 1) natural product-first approach guided by a major compound, biological activity or genomic analysis, and 2) enzyme-first approach guided by bioinformatic tools to construct a sequence similarity network for the discovery of biosynthetic enzymes. The structures of peptides, biosynthetic origins of unique building blocks, recent reports of post-translational modifying enzymes for constructing these peptides, and knowledge gap in biosynthesis will also be presented.
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