metabolite annotation Search Results


90
Metabolon Inc annotation of 941 metabolites
Annotation Of 941 Metabolites, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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KNIME GmbH metabolite annotation functions
Metabolite Annotation Functions, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Metabolon Inc annotated metabolites
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Annotated Metabolites, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/metabolite+annotation/pmc11857688-62-4-9
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annotated metabolites - by Bioz Stars, 2026-11
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BioAge Labs signal-metabolite set annotation matrix
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Signal Metabolite Set Annotation Matrix, supplied by BioAge Labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/signal+metabolite+set+annotation+matrix/pmc06347288__pcbi__1006734__s015-2-4-3
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signal-metabolite set annotation matrix - by Bioz Stars, 2026-11
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90
Metabolon Inc high-throughput mass spectrometry-based methods for metabolite detection and annotation
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
High Throughput Mass Spectrometry Based Methods For Metabolite Detection And Annotation, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/high+throughput+mass+spectrometry+based+methods+for+metabolite+detection+and+annotation/pmc11947041-4-12-13
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high-throughput mass spectrometry-based methods for metabolite detection and annotation - by Bioz Stars, 2026-11
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Metabolon Inc metabolon-assigned id x-16946
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Metabolon Assigned Id X 16946, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/semi+annotated+metabolite+x+16946/pm39793479-112-7-4
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metabolon-assigned id x-16946 - by Bioz Stars, 2026-11
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Biocan Diagnostics Inc annotating a metabolite feature
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Annotating A Metabolite Feature, supplied by Biocan Diagnostics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/annotating+a+metabolite+feature/pm33256731-203-8-11
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annotating a metabolite feature - by Bioz Stars, 2026-11
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Human Metabolome Technologies America metabolite annotation
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Metabolite Annotation, supplied by Human Metabolome Technologies America, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/metabolite+annotation/10__1172_slash_jci133371-303-1-7
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metabolite annotation - by Bioz Stars, 2026-11
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General Metabolics metabolite annotations
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Metabolite Annotations, supplied by General Metabolics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/metabolite+annotation/pm38675924-117-12-16
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metabolite annotations - by Bioz Stars, 2026-11
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90
MetWare Ltd metabolite quantification and annotation
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Metabolite Quantification And Annotation, supplied by MetWare Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/metabolite+quantification+and+annotation/10__1094_slash_mpmi___09___21___0225___r-214-0-7
Average 90 stars, based on 1 article reviews
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BioAge Labs bioage-based metabolite set annotations
Tryptophan metabolism sub-pathway. <t>Metabolites</t> highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.
Bioage Based Metabolite Set Annotations, supplied by BioAge Labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/bioage+based+metabolite+set+annotations/pmc07332400-47-5-5
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Perio Products Ltd ms2-annotated metabolites associated with
Comparison of fecal <t>metabolites</t> between the pregnant women with Perio ( n = 31) and Non-Perio ( n = 23). A Principal component analysis score plot. 95% confidence ellipses were shown. B Volcano plot revealed the inter-group difference in metabolic features ( n = 137). Features with |log 2 FC| > 1 and P < 0.05 (Wilcoxon signed-rank test) were colored and labelled. Chemical classification of metabolic features in samples ( C ) and limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features ( D , n = 547) of feces, saliva and serum based on ClassyFire classification. E Boxplot of selected differentially changed metabolic features in feces. Wilcoxon rank sum test. F Functional enrichment analysis on limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features in feces ( n = 547) with integration of mummichog and GSEA algorithms. Quantitative metabolite set enrichment analysis (qMSEA) on MS2- and HMDB-annotated fecal metabolic features (limma-identified BMI-adjusted differentially changed, P < 0.05) for pathways ( G ) and disease signatures of HMDB ( H ). The detailed results are presented in Tables –
Ms2 Annotated Metabolites Associated With, supplied by Perio Products Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/metabolite+annotation/ms2+annotated+metabolites+associated+with/pmc11370083-148-8-11
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Image Search Results


Tryptophan metabolism sub-pathway. Metabolites highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.

Journal: Metabolites

Article Title: Identification of Plasma Metabolites Responding to Oxycodone Exposure in Rats

doi: 10.3390/metabo15020095

Figure Lengend Snippet: Tryptophan metabolism sub-pathway. Metabolites highlighted in green show a significant increase in abundance level at intoxication compared to pre-exposure. Metabolites in red did not have significant differential responses between the two time points. Metabolites in black were not measurable in our study.

Article Snippet: A total of 941 annotated metabolites were characterized by Metabolon.

Techniques:

Comparison of fecal metabolites between the pregnant women with Perio ( n = 31) and Non-Perio ( n = 23). A Principal component analysis score plot. 95% confidence ellipses were shown. B Volcano plot revealed the inter-group difference in metabolic features ( n = 137). Features with |log 2 FC| > 1 and P < 0.05 (Wilcoxon signed-rank test) were colored and labelled. Chemical classification of metabolic features in samples ( C ) and limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features ( D , n = 547) of feces, saliva and serum based on ClassyFire classification. E Boxplot of selected differentially changed metabolic features in feces. Wilcoxon rank sum test. F Functional enrichment analysis on limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features in feces ( n = 547) with integration of mummichog and GSEA algorithms. Quantitative metabolite set enrichment analysis (qMSEA) on MS2- and HMDB-annotated fecal metabolic features (limma-identified BMI-adjusted differentially changed, P < 0.05) for pathways ( G ) and disease signatures of HMDB ( H ). The detailed results are presented in Tables –

Journal: Journal of Translational Medicine

Article Title: Integrative microbiome and metabolome profiles reveal the impacts of periodontitis via oral-gut axis in first-trimester pregnant women

doi: 10.1186/s12967-024-05579-9

Figure Lengend Snippet: Comparison of fecal metabolites between the pregnant women with Perio ( n = 31) and Non-Perio ( n = 23). A Principal component analysis score plot. 95% confidence ellipses were shown. B Volcano plot revealed the inter-group difference in metabolic features ( n = 137). Features with |log 2 FC| > 1 and P < 0.05 (Wilcoxon signed-rank test) were colored and labelled. Chemical classification of metabolic features in samples ( C ) and limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features ( D , n = 547) of feces, saliva and serum based on ClassyFire classification. E Boxplot of selected differentially changed metabolic features in feces. Wilcoxon rank sum test. F Functional enrichment analysis on limma-identified and BMI-adjusted differentially changed ( P < 0.05) metabolic features in feces ( n = 547) with integration of mummichog and GSEA algorithms. Quantitative metabolite set enrichment analysis (qMSEA) on MS2- and HMDB-annotated fecal metabolic features (limma-identified BMI-adjusted differentially changed, P < 0.05) for pathways ( G ) and disease signatures of HMDB ( H ). The detailed results are presented in Tables –

Article Snippet: Of them, 92 were MS2-annotated, including 56 MS2-annotated metabolites associated with Perio (positive coefficients).

Techniques: Comparison, Functional Assay

Integration of fecal microbiota, metabolites and systemic clinical determinants in the pregnant women with Perio ( n = 31) and Non-Perio ( n = 23). A DIABLO-integrated correlation network of fecal microbiome, metabolome and clinical numeric determinants. Nodes of ‘tie’ of sPLS-DA were not shown. The line width represented | r |. The correlation coefficient threshold with clinical determinants was |r|>0.3, while the one between microbiome and metabolome was |r|>0.4. Two clusters were observed, and all the inter-cluster links were shown with translucency for clarity. When no HMDB ID was presented, the feature was annotated by an in-house library only. CRP, C-reactive protein; TG, triglyceride; LDL-c, low-density lipoprotein cholesterol; TBIL, total bilirubin; TP, total protein; ALB, serum albumin. B Pairwise Spearman’s correlation analysis between DESeq2-enriched genera (relative abundance) in feces and Venn-selected MS2-annotated metabolic features with FDR (Benjamini-Hochberg) adjustment for P values. Enriched groups for microbiome were from DESeq2 results, while enriched groups for metabolome were from the sPLS-DA model. Correlation matrices were presented with asterisks representing the significance of FDR-adjusted P values: * FDR < 0.05, ** FDR < 0.01. The exact adjusted P values (FDR) are provided in Table . c Scatter plots of Spearman’s correlation between selected fecal genera and metabolic features

Journal: Journal of Translational Medicine

Article Title: Integrative microbiome and metabolome profiles reveal the impacts of periodontitis via oral-gut axis in first-trimester pregnant women

doi: 10.1186/s12967-024-05579-9

Figure Lengend Snippet: Integration of fecal microbiota, metabolites and systemic clinical determinants in the pregnant women with Perio ( n = 31) and Non-Perio ( n = 23). A DIABLO-integrated correlation network of fecal microbiome, metabolome and clinical numeric determinants. Nodes of ‘tie’ of sPLS-DA were not shown. The line width represented | r |. The correlation coefficient threshold with clinical determinants was |r|>0.3, while the one between microbiome and metabolome was |r|>0.4. Two clusters were observed, and all the inter-cluster links were shown with translucency for clarity. When no HMDB ID was presented, the feature was annotated by an in-house library only. CRP, C-reactive protein; TG, triglyceride; LDL-c, low-density lipoprotein cholesterol; TBIL, total bilirubin; TP, total protein; ALB, serum albumin. B Pairwise Spearman’s correlation analysis between DESeq2-enriched genera (relative abundance) in feces and Venn-selected MS2-annotated metabolic features with FDR (Benjamini-Hochberg) adjustment for P values. Enriched groups for microbiome were from DESeq2 results, while enriched groups for metabolome were from the sPLS-DA model. Correlation matrices were presented with asterisks representing the significance of FDR-adjusted P values: * FDR < 0.05, ** FDR < 0.01. The exact adjusted P values (FDR) are provided in Table . c Scatter plots of Spearman’s correlation between selected fecal genera and metabolic features

Article Snippet: Of them, 92 were MS2-annotated, including 56 MS2-annotated metabolites associated with Perio (positive coefficients).

Techniques: