ArticleBMC bioinformatics2015
A molecular structure matching approach to efficient identification of endogenous mammalian biochemical structures.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- CXCL10 promotes non-small cell lung cancer (NSCLC) progression by modulating the phosphate to urate ratio (PUR).Discover oncology · 2025Article
- Causal effects of genetically determined metabolites and metabolite ratios on esophageal diseases: a two-sample Mendelian randomization study.BMC gastroenterology · 2024Article
- Causal role of metabolites in non-small cell lung cancer: Mendelian randomization (MR) study.PloS one · 2024Article
- Causal effects of genetically determined metabolites on cancers included lung, breast, ovarian cancer, and glioma: a Mendelian randomization study.Translational lung cancer research · 2022Article
- Metabolomics: beyond biomarkers and towards mechanisms.Nature reviews. Molecular cell biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Metabolomics is the study of small molecules, called metabolites, of a cell, tissue or organism. It is of particular interest as endogenous metabolites represent the phenotype resulting from gene expression. A major challenge in metabolomics research is the structural identification of unknown biochemical compounds in complex biofluids. In this paper we present an efficient cheminformatics tool, BioSMXpress that uses known endogenous mammalian biochemicals and graph matching methods to identify endogenous mammalian biochemical structures in chemical structure space. The results of a comprehensive set of empirical experiments suggest that BioSMXpress identifies endogenous mammalian biochemical structures with high accuracy. BioSMXpress is 8 times faster than our previous work BioSM without compromising the accuracy of the predictions made. BioSMXpress is freely available at http://engr.uconn.edu/~rajasek/BioSMXpress.zip.
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Registered trials
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