ReviewNatural product reports2021
Advancements in capturing and mining mass spectrometry data are transforming natural products research.
Review in Natural product reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 70 citations in OpenAlex.
- Integrated metabolomics and metagenomics reveal divergent caecal metabolic signatures following commercial gut health interventions in broilers.Animal microbiome · 2026Article
- Mass spectrometry-based metabolomics approaches to interrogate host-microbiome interactions in mammalian systems.Natural product reports · 2026Review
- Structural determination of natural products at speeds and scale of high-throughput screening.Natural product reports · 2026Review
- A versatile toolkit for drug metabolism studies with GNPS2: from drug development to clinical monitoring.Nature protocols · 2026Review
- An integrative chemical and genomic similarity approach linking fungal secondary metabolites and biosynthetic gene clusters.Organic & biomolecular chemistry · 2026Article
- Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.Frontiers in plant science · 2026Article
- Diterpenoids from the genus Croton and their biological activities.Archives of pharmacal research · 2025Review
- Review
- Halogenation-Guided Chemical Screening Uncovers Cyanobacterin Analogues from the CyanobacteriumJournal of natural products · 2025Article
- Mining for Halogenated Metabolites ofJournal of natural products · 2025Article
- Computational metabolomics reveals overlooked chemodiversity of alkaloid scaffolds in Piper fimbriulatum.The Plant journal : for cell and molecular biology · 2025Article
- ROASMI: accelerating small molecule identification by repurposing retention data.Journal of cheminformatics · 2025Article
- Multiparametric Optimization of Data-Dependent Acquisition Towards More Holistic Bacterial Metabolite Coverage Through Molecular Networking.International journal of microbiology · 2025Article
- Natural Product-Derived Senotherapeutics: Extraction and Biological Evaluation Techniques.Methods in molecular biology (Clifton, N.J.) · 2025Article
- NewSynthetic and systems biotechnology · 2024Article
- A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery.ACS central science · 2024Article
- Artificial intelligence for natural product drug discovery.Nature reviews. Drug discovery · 2023Review
- Recent advances in mass spectrometry-based computational metabolomics.Current opinion in chemical biology · 2023Review
- Review
- Modern Trends in Natural Antibiotic Discovery.Life (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
Abstract
Covering: 2016 up to 2021Mass spectrometry (MS) is an essential technology in natural products research with MS fragmentation (MS/MS) approaches becoming a key tool. Recent advancements in MS yield dense metabolomics datasets which have been, conventionally, used by individual labs for individual projects; however, a shift is brewing. The movement towards open MS data (and other structural characterization data) and accessible data mining tools is emerging in natural products research. Over the past 5 years, this movement has rapidly expanded and evolved with no slowdown in sight; the capabilities of today vastly exceed those of 5 years ago. Herein, we address the analysis of individual datasets, a situation we are calling the '2021 status quo', and the emergent framework to systematically capture sample information (metadata) and perform repository-scale analyses. We evaluate public data deposition, discuss the challenges of working in the repository scale, highlight the challenges of metadata capture and provide illustrative examples of the power of utilizing repository data and the tools that enable it. We conclude that the advancements in MS data collection must be met with advancements in how we utilize data; therefore, we argue that open data and data mining is the next evolution in obtaining the maximum potential in natural products research.
Indexed as
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.