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ModelsHenry2009 - Genome-scale metabolic network of Bacillus subtilis (iBsu1103)
Henry2009 - Genome-scale metabolic network of Bacillus subtilis (iBsu1103) This model is described in the article: iBsu1103: a new genome-scale metabolic model of Bacillus subtilis based on SEED annotations. Henry CS, Zinner JF, Cohoon MP, Stevens RL. Genome Biol. 2009; 10...
2015-07-30 | MODEL1507180015 | BioModels
ModelsThiaville2016 - Folate pathway model (PanB overexpression)
Henry2016 Folate pathway model with induced PanB reaction This model is described in the article: Experimental and Metabolic Modeling Evidence for a Folate-Cleaving Side-Activity of Ketopantoate Hydroxymethyltransferase (PanB). T...
2024-09-02 | BIOMD0000000689 | BioModels
ModelsThiaville2016 - Folate pathway model (PanB overexpression and THF regulation)
Henry2016 Folate pathway model with induced PanB reaction This model is described in the article: Experimental and Metabolic Modeling Evidence for a Folate-Cleaving Side-Activity of Ketopantoate Hydroxymethyltransferase (PanB). T...
2024-09-02 | BIOMD0000000690 | BioModels
ModelsThiaville2016 - Wild type folate pathway model with proposed PanB reaction
Thiaville2016 - Wild type folate pathway model with proposed PanB reaction This is a wild type E. coli model, and is one amongst the three models described in the paper. The other two models are MODEL1602280002 (wild type with PanB over expression) and MODEL1602280003 (wild type with PanB over expre...
2024-09-02 | BIOMD0000000639 | BioModels
ProteomicsNitrite toxicity drives nitrous oxide accumulation in a cooperative denitrifying synthetic community
Anthropogenic perturbations to the nitrogen cycle, primarily through use of synthetic fertilizers, have caused unprecedented increases in the emission of nitrous oxide (N2O) in recent decades. As a potent greenhouse gas, and an ozone depleting substance, understanding the sources and sinks of N2O is...
ORGANISM(S): Acidovorax sp. Rhodanobacter sp. 
2025-06-24 | PXD051979 | Pride
Nitrogen cycle Syncom Denitrification Microbial community 
ProteomicsDevelopment of a Robust Score and False Discovery Rate for Metabolite Identification
We used machine learning (ML) to improve metabolite identification confidence in GC-MS data. This project was funded by PNNL's M/Q initiative. All data was collected on an Agilent GC 7890A coupled with a single quadrupole MSD 5975C. Metabolites were derivatized prior to analysis.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Aspergillus (ncbitaxon:5052) Homo Sapiens (ncbitaxon:9606) Aspergillus Nidulans (ncbitaxon:162425) 
2022-07-20 | MSV000089933 | MassIVE
UnknownMeasuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016.
Not available
S-EPMC5986687 | biostudies-literature
UnknownGlobal hospital-based disease management of acute diverticulitis: a prospective, international cohort study.
Not available
S-EPMC12512976 | biostudies-literature
UnknownMapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17.
Not available
S-EPMC7388204 | biostudies-literature
UnknownGlobal, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.
Not available
S-EPMC5605883 | biostudies-literature
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