ArticleAnalytical chemistry2016
Comprehensive Metabolite Identification Strategy Using Multiple Two-Dimensional NMR Spectra of a Complex Mixture Implemented in the COLMARm Web Server.
Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 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
65 citing papers in PubMed.
- Fast Diffusion-Based Metabolomics Profiling by 3D Pure Shift HSQC-DOSY NMR with COLMARvista.Analytical chemistry · 2026Article
- Metabolite Fraction Libraries for Quantitative NMR Metabolomics.Analytical chemistry · 2026Article
- DEEP Phaser: A Deep Learning Tandem Vision Transformer for Fully Automated NMR Phase Correction.The journal of physical chemistry letters · 2026Article
- Sex-Driven Variation in Polar Metabolites and Lipid Motifs ofMetabolites · 2026Article
- PFOA induced metabolic and immune perturbations in a SARS-2 infection model.bioRxiv : the preprint server for biology · 2026Article
- Metabolite Fraction Libraries for Quantitative NMR Metabolomics.bioRxiv : the preprint server for biology · 2025Article
- COLMAR1d2d: Synergistic Combination of 1D with 2D NMR for Enhanced High-Throughput Identification and Quantification of Metabolites in Complex Mixtures.Analytical chemistry · 2025Article
- Introducing "Identification Probability" for Automated and Transferable Assessment of Metabolite Identification Confidence in Metabolomics and Related Studies.Analytical chemistry · 2025Review
- PyINETA: Open-Source Platform for INADEQUATE-JRES Integration in NMR Metabolomics.Analytical chemistry · 2024Article
- COLMAR1d: A Web Server for Automated, Quantitative One-Dimensional Nuclear Magnetic Resonance-Based Metabolomics at Arbitrary Magnetic Fields.Analytical chemistry · 2024Article
- Introducing 'identification probability' for automated and transferable assessment of metabolite identification confidence in metabolomics and related studies.bioRxiv : the preprint server for biology · 2024Article
- PyINETA: Open-source platform for INADEQUATE-JRES integration in NMR metabolomics.bioRxiv : the preprint server for biology · 2024Article
- COLMARppm: A Web Server Tool for the Accurate and Rapid Prediction ofAnalytical chemistry · 2024Article
- Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023Review
- Mapping ofMagnetic resonance in chemistry : MRC · 2023Article
- Statistical considerations and database limitations in NMR-based metabolic profiling studies.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Label-free in vitro assays predict the potency of anti-disialoganglioside chimeric antigen receptor T-cell products.Cytotherapy · 2023Article
- Machine Learning in Automated Monitoring of Metabolic Changes Accompanying the Differentiation of Adipose-Tissue-Derived Human Mesenchymal Stem Cells EmployingMetabolites · 2023Article
- Functional assessment of homozygous ALDH18A1 variants reveals alterations in amino acid and antioxidant metabolism.Human molecular genetics · 2023Article
- Advances in Microbial NMR Metabolomics.Advances in experimental medicine and biology · 2023Article
5 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Identification of metabolites in complex mixtures represents a key step in metabolomics. A new strategy is introduced, which is implemented in a new public web server, COLMARm, that permits the coanalysis of up to three two-dimensional (2D) NMR spectra, namely,
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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.