ArticlemSystems2021
Comprehensive Large-Scale Integrative Analysis of Omics Data To Accelerate Specialized Metabolite Discovery.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Mass spectrometry-based metabolomics approaches to interrogate host-microbiome interactions in mammalian systems.Natural product reports · 2026Review
- Bacterial Proteomics and Antibiotic Resistance Identification: Is Single-Cell Analysis a Worthwhile Pursuit?Pathogens (Basel, Switzerland) · 2025Review
- Microbial secondary metabolites: advancements to accelerate discovery towards application.Nature reviews. Microbiology · 2025Review
- Decoding Sepsis: Unraveling Key Signaling Pathways for Targeted Therapies.Research (Washington, D.C.) · 2025Review
- Primed for Discovery.Biochemistry · 2024Review
- Unveiling biosynthetic potential of an Arctic marine-derived strain Aspergillus sydowii MNP-2.BMC genomics · 2024Article
- Artificial intelligence for natural product drug discovery.Nature reviews. Drug discovery · 2023Review
- iPRESTO: Automated discovery of biosynthetic sub-clusters linked to specific natural product substructures.PLoS computational biology · 2023Article
- Enhanced correlation-based linking of biosynthetic gene clusters to their metabolic products through chemical class matching.Microbiome · 2023Article
- Bioassay-Guided Fractionation Leads to the Detection of Cholic Acid Generated by the RareMarine drugs · 2022Article
- Integrated Metabolomic-Genomic Workflows Accelerate Microbial Natural Product Discovery.Analytical chemistry · 2022Review
- NP Analyst: An Open Online Platform for Compound Activity Mapping.ACS central science · 2022Article
- Article
- Advancements in capturing and mining mass spectrometry data are transforming natural products research.Natural product reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Microbial specialized metabolites are key mediators in host-microbiome interactions. Most of the chemical space produced by the microbiome currently remains unexplored and uncharacterized. This situation calls for new and improved methods to exploit the growing publicly available genomic and metabolomic data sets and connect the outcomes to structural and functional knowledge inferred from transcriptomics and proteomics experiments. Here, we first describe currently available approaches that support the comprehensive mining of metabolomics and genomics data. Next, we provide our vision on how to move forward toward the automated linking of omics data of specialized metabolites to their structures, biosynthesis pathways, producers, and functions.
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Identifiers
What OpenQuestion holds
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.