ArticlePhytochemistry letters2017
CASMI 2016: A manual approach for dereplication of natural products using tandem mass spectrometry.
Article in Phytochemistry letters, 2017. 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
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.
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Who cites it
8 citing papers in PubMed.
- DeepHalo: Deep learning-powered exploration of halogenated metabolites uncovering antibacterial depsipeptides.Acta pharmaceutica Sinica. B · 2026Article
- Multilaboratory Untargeted Mass Spectrometry Metabolomics Collaboration to Identify Bottlenecks and Comprehensively Annotate A Single Dataset.Analytical chemistry · 2025Article
- Review
- Feature-Based Molecular Networking Discovery of Bromopyrrole Alkaloids from the Marine SpongeJournal of natural products · 2022Review
- Strategies for structure elucidation of small molecules based on LC-MS/MS data from complex biological samples.Computational and structural biotechnology journal · 2022Review
- Article
- Exploring the Phytochemical Landscape of the Early-Diverging Flowering PlantMolecules (Basel, Switzerland) · 2019Article
- Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics.Metabolites · 2018Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
The Critical Assessment of Small Molecule Identification (CASMI) contest is an initiative designed as an unbiased test of manual and automated strategies for the identification of small molecules from raw mass spectrometric data. In this contest, the participants are provided a set of high resolution MS and MS/MS data and asked to identify the unknown structure. CASMI 2016 is the fourth round of this contest in which the author participated in Category 1: Best Identification of Natural Products using a manual approach. The provided high resolution mass spectrometric data were interpreted manually using a combination of fragment and neutral loss analysis, literature consultation, manual database searches, deductive logic and experience. Out of 18 challenges, the author submitted correct structures as lead candidates for 14 challenges and 2
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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.