ArticleFrontiers in molecular biosciences2023
Application of feature-based molecular networking and MassQL for the MS/MS fragmentation study of depsipeptides.
Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Exploring halophilic microorganisms for novel antimicrobial discovery: molecular mechanisms and computational approaches.Folia microbiologica · 2026Review
- Characterization of Atrasentan Metabolic Pathway in Human Liver Microsomes Using Feature-Based Molecular Networking.Pharmaceutics · 2026Article
- Current Advancements in Untargeted Metabolomics Analysis and Testing Driven by Machine Learning: Prospects for Artificial Intelligence in Patient-Centric Healthcare Transformation.Applied biochemistry and biotechnology · 2026Review
- Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.Frontiers in plant science · 2026Article
- A universal language for finding mass spectrometry data patterns.Nature methods · 2025Article
- Synthetic Biology in Natural Product Biosynthesis.Chemical reviews · 2025Review
- Mechanism research on inhibition of gastric cancerOpen medicine (Warsaw, Poland) · 2025Article
- Clustering Molecules at a Large Scale: Integrating Spectral Geometry with Deep Learning.Molecules (Basel, Switzerland) · 2024Article
- Network Models of BACE-1 Inhibitors: Exploring Structural and Biochemical Relationships.International journal of molecular sciences · 2024Article
- Comprehensive mass spectrometric metabolomic profiling of a chemically diverse collection of plants of the Celastraceae family.Scientific data · 2024Article
- Integration of Wnt-inhibitory activity and structural novelty scoring results to uncover novel bioactive natural products: new Bicyclo[3.3.1]non-3-ene-2,9-diones from the leaves ofFrontiers in chemistry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Feature-based Molecular Networking (FBMN) is a well-known approach for mapping and identifying structures and analogues. However, in the absence of prior knowledge about the molecular class, assessing specific fragments and clusters requires time-consuming manual validation. This study demonstrates that combining FBMN and Mass Spec Query Language (MassQL) is an effective strategy for accelerating the decoding mass fragmentation pathways and identifying molecules with comparable fragmentation patterns, such as beauvericin and its analogues. To accomplish this objective, a spectral similarity network was built from ESI-MS/MS experiments of
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.