AI Article Synopsis
- Ribosomally synthesized and post-translationally modified peptides (RiPPs) are significant natural products that include antibiotics and various bioactive compounds.
- Current discovery methods for RiPPs are limited and ineffective at identifying unknown modifications in larger datasets.
- MetaMiner is a new software tool that successfully identified 31 known and 7 unknown RiPPs from diverse microbial sources by analyzing millions of spectra from large genomic databases.
Article Abstract
Ribosomally synthesized and post-translationally modified peptides (RiPPs) are an important class of natural products that contain antibiotics and a variety of other bioactive compounds. The existing methods for discovery of RiPPs by combining genome mining and computational mass spectrometry are limited to discovering specific classes of RiPPs from small datasets, and these methods fail to handle unknown post-translational modifications. Here, we present MetaMiner, a software tool for addressing these challenges that is compatible with large-scale screening platforms for natural product discovery. After searching millions of spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure against just eight genomic and metagenomic datasets, MetaMiner discovered 31 known and seven unknown RiPPs from diverse microbial communities, including human microbiome and lichen microbiome, and microorganisms isolated from the International Space Station.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952069 | PMC |
| http://dx.doi.org/10.1016/j.cels.2019.09.004 | DOI Listing |
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