ArticlePlanta medica2018
Integration of Biochemometrics and Molecular Networking to Identify Antimicrobials in Angelica keiskei.
Article in Planta medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- A quantitative screening strategy based on activity-content ratio for prioritizing bioactive compounds in medicinal plants.Journal of pharmaceutical analysis · 2026Article
- Isolation and characterization of antiplasmodial and antimicrobial compounds fromRSC advances · 2026Article
- The responses of rice plant to tricyclazole at the transcriptome and metabolome levels.Frontiers in plant science · 2026Article
- Combining the Strengths of MS and NMR in Biochemometrics: A Case Study onJournal of natural products · 2025Article
- Multi-Omics Analysis in Mouse Primary Cortical Neurons Reveals Complex Positive and Negative Biological Interactions Between Constituent Compounds ofPharmaceuticals (Basel, Switzerland) · 2024Article
- Multi-omics analysis in mouse primary cortical neurons reveals complex positive and negative biological interactions between constituent compounds in Centella asiatica.bioRxiv : the preprint server for biology · 2024Article
- Development of Xanthoangelol-Derived Compounds with Membrane-Disrupting Effects against Gram-Positive Bacteria.Antibiotics (Basel, Switzerland) · 2024Article
- Molecular networking identifies an AHR-modulating benzothiazole from white button mushrooms (Journal of functional foods · 2023Article
- Article
- Molecular Networking-Guided Isolation of a Phenolic Constituent fromFoods (Basel, Switzerland) · 2023Article
- Application of feature-based molecular networking and MassQL for the MS/MS fragmentation study of depsipeptides.Frontiers in molecular biosciences · 2023Article
- MS/MS-Based Molecular Networking: An Efficient Approach for Natural Products Dereplication.Molecules (Basel, Switzerland) · 2022Review
- Interactions between Natural Products-A Review.Metabolites · 2022Review
- Interactions between Medical Plant-Derived Bioactive Compounds: Focus on Antimicrobial Combination Effects.Antibiotics (Basel, Switzerland) · 2022Review
- Antibacterial Screening, Biochemometric and Bioautographic Evaluation of the Non-Volatile Bioactive Components of Three Indigenous South AfricanAntibiotics (Basel, Switzerland) · 2022Article
- Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins.Bioorganic chemistry · 2022Article
- Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities.Natural product reports · 2021Review
- Advancements in capturing and mining mass spectrometry data are transforming natural products research.Natural product reports · 2021Review
- Scalarane-Type Sesterterpenoids from the Marine SpongeMarine drugs · 2021Article
- Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry.Acta pharmaceutica Sinica. B · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Botanical medicines have been utilized for centuries, but it remains challenging to identify bioactive constituents from complex botanical extracts. Bioassay-guided fractionation is often biased toward abundant or easily isolatable compounds. To comprehensively evaluate active botanical mixtures, methods that allow for the prioritization of active compounds are needed. To this end, a method integrating bioassay-guided fractionation, biochemometric selectivity ratio analysis, and molecular networking was devised and applied to
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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.