ArticleMethods in molecular biology (Clifton, N.J.)2025
Pathway Analysis Utilizing Metabolomic and Proteomic Datasets.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- MetaboGraph: A Framework for Metabolomics and Lipidomics Annotation and Pathway Network Analysis.Analytical chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathway analysis of metabolomic and proteomic data is critical for understanding the intricacies of biological processes and disease mechanisms. The challenging process of pathway analysis has become less burdensome thanks to online tools and databases that enable the comparison of pathways in intricate biological systems. Data analysis tools, like MetaboAnalyst 6.0, evaluate complex interactions and metabolic networks in biological pathways. Metabolomic and proteomic data integration is performed by utilizing databases, like KEGG, to analyze pathways and determine the interplay of proteins, metabolites, and other molecules in common pathways. Molecular interactions and similarities between pathways are explored to promote hypothesis generation and guide further research. This comprehensive chapter will enhance the understanding of utilizing pathway analysis of metabolic and proteomic data of various conditions, biomarkers, organisms, and therapeutic molecular targets, paving the way for future investigations and clinical applications, especially in pharmacology. Drugs like Metformin can be studied more extensively with pathway analysis, as demonstrated in this chapter, to enhance our understanding of how drugs affect patients.
Indexed as
Identifiers
40498185What 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.