ArticlePNAS nexus2022
NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters.
Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- The human microbiome as a source of novel bioactive natural products: structures, bioactivities, and biosynthetic insights.Journal of natural medicines · 2026Review
- Combating Antibacterial Resistance: The Integrative Role of Artificial Intelligence in Bio-Based Product Development.Antibiotics (Basel, Switzerland) · 2026Review
- Green genes from blue greens: challenges and solutions to unlocking the potential of cyanobacteria in drug discovery.Natural product reports · 2026Review
- The undiscovered natural product potential of Actinomycetes.The Journal of antibiotics · 2026Article
- Advances in natural product discovery: strategies, technologies, and insights.Natural products and bioprospecting · 2026Review
- Phylogeny-Aware Metabologenomics Accurately Assigns Natural Products to Biosynthetic Gene Clusters.Microbial biotechnology · 2026Article
- Credible inferences in microbiome research: ensuring rigour, reproducibility and relevance in the era of AI.Nature reviews. Gastroenterology & hepatology · 2025Review
- Biodiscovery ofMicrobial genomics · 2025Article
- Sequence modeling tools to decode the biosynthetic diversity of the human microbiome.mSystems · 2025Review
- A universal language for finding mass spectrometry data patterns.Nature methods · 2025Article
- Pattern-Based Genome Mining Guides Discovery of the Antibiotic Indanopyrrole A from a Marine Streptomycete.Journal of natural products · 2024Article
- Pattern-based genome mining guides discovery of the antibiotic indanopyrrole A from a marine streptomycetef.bioRxiv : the preprint server for biology · 2024Article
- Discovering type I cis-AT polyketides through computational mass spectrometry and genome mining with Seq2PKS.Nature communications · 2024Article
- Progress and challenges in exploring aquatic microbial communities using non-targeted metabolomics.The ISME journal · 2023Review
- Enhanced correlation-based linking of biosynthetic gene clusters to their metabolic products through chemical class matching.Microbiome · 2023Article
- Metabologenomics analysis ofFrontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Microbial specialized metabolites are an important source of and inspiration for many pharmaceuticals, biotechnological products and play key roles in ecological processes. Untargeted metabolomics using liquid chromatography coupled with tandem mass spectrometry is an efficient technique to access metabolites from fractions and even environmental crude extracts. Nevertheless, metabolomics is limited in predicting structures or bioactivities for cryptic metabolites. Efficiently linking the biosynthetic potential inferred from (meta)genomics to the specialized metabolome would accelerate drug discovery programs by allowing metabolomics to make use of genetic predictions. Here, we present a
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.