ArticleFrontiers in molecular biosciences2021
Combination of Pseudo-LC-NMR and HRMS/MS-Based Molecular Networking for the Rapid Identification of Antimicrobial Metabolites From
Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- GNPS2 molecular networking reveals metabolic diversity in fungi isolated from protease-rich fruits.Natural products and bioprospecting · 2026Article
- Assessment of Metabolic Alterations Induced by Halogenated Additives and Antifungal Activity of Extracts from the Endophytic FungusMetabolites · 2025Article
- High-Resolution Isolation of Natural Products: Efficient Combination of Dryload Injection and HPLC Gradient Transfer.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Can NMR-HetCA be a Reliable Prediction Tool for the Direct Identification of Bioactive Substances in Complex Mixtures?Analytical chemistry · 2024Article
- Discovery of a Novel Chromone Enantiomer and the Precursors of Nonactic Acid from the Coral-Reef-DerivedMarine drugs · 2024Article
- Advanced high-resolution chromatographic strategies for efficient isolation of natural products from complex biological matrices: from metabolite profiling to pure chemical entities.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2024Review
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Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An endophytic fungal strain isolated from a seagrass endemic to the Mediterranean Sea (
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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.