ArticleNucleic acids research2018
PAMDB: a comprehensive Pseudomonas aeruginosa metabolome database.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 63 citations in OpenAlex.
- Comprehensive analysis of taste attributes and metabolite profiles reveals taste diversity among flowering stalk varieties.Food chemistry: X · 2026Article
- Mass spectrometry-based metabolomics approaches to interrogate host-microbiome interactions in mammalian systems.Natural product reports · 2026Review
- A dataset of 1.2 million molecules with DFT-level quantum chemical annotations for molecular representation learning.Communications chemistry · 2026Article
- Article
- Paving the way or sharing goods?-Interactions between pairs ofFrontiers in microbiology · 2026Article
- Seeing between the lines: matrix-assisted laser desorption/ionization mass spectrometry imaging advances for microbial interactions.Current opinion in microbiology · 2025Review
- Universal, untargeted detection of bacteria in tissues using metabolomics workflows.Nature communications · 2025Article
- Introducing 'identification probability' for automated and transferable assessment of metabolite identification confidence in metabolomics and related studies.bioRxiv : the preprint server for biology · 2024Article
- Article
- HILIC-IM-MS for Simultaneous Lipid and Metabolite Profiling of Bacteria.ACS measurement science au · 2024Article
- Untargeted metabolomics unveiled the role of butanoate metabolism in the development ofFrontiers in cellular and infection microbiology · 2024Article
- The discovery of subunit-selective GluN1/GluN2B NMDAR antagonist via pharmacophere-based virtual screening.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023Review
- Synthesis of Metabolites and Metabolite-like Compounds Using Biocatalytic Systems.Metabolites · 2023Review
- Animal Metabolite Database: Metabolite Concentrations in Animal Tissues and Convenient Comparison of Quantitative Metabolomic Data.Metabolites · 2023Article
- Mass spectrometry imaging for biosolids characterization to assess ecological or health risks before reuse.Nature communications · 2023Article
- Computationally Efficient Assembly of Pseudomonas aeruginosa Gene Expression Compendia.mSystems · 2023Article
- Discovering New Natural Products Using Metabolomics-Based Approaches.Advances in experimental medicine and biology · 2023Article
- Article
- The Human Innate Immune Protein Calprotectin Elicits a Multimetal Starvation Response in Pseudomonas aeruginosa.Microbiology spectrum · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
The Pseudomonas aeruginosaMetabolome Database (PAMDB, http://pseudomonas.umaryland.edu) is a searchable, richly annotated metabolite database specific to P. aeruginosa. P. aeruginosa is a soil organism and significant opportunistic pathogen that adapts to its environment through a versatile energy metabolism network. Furthermore, P. aeruginosa is a model organism for the study of biofilm formation, quorum sensing, and bioremediation processes, each of which are dependent on unique pathways and metabolites. The PAMDB is modelled on the Escherichia coli (ECMDB), yeast (YMDB) and human (HMDB) metabolome databases and contains >4370 metabolites and 938 pathways with links to over 1260 genes and proteins. The database information was compiled from electronic databases, journal articles and mass spectrometry (MS) metabolomic data obtained in our laboratories. For each metabolite entered, we provide detailed compound descriptions, names and synonyms, structural and physiochemical information, nuclear magnetic resonance (NMR) and MS spectra, enzymes and pathway information, as well as gene and protein sequences. The database allows extensive searching via chemical names, structure and molecular weight, together with gene, protein and pathway relationships. The PAMBD and its future iterations will provide a valuable resource to biologists, natural product chemists and clinicians in identifying active compounds, potential biomarkers and clinical diagnostics.
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.