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The calculation of amino acid uptake rates for cells of Sulfolobus solfataricus P2 grown on caseinhydrolysate was performed based on the relative consumption of individual amino acids from the growth medium and the previously published absolute concentration of amino acids in the used growth medium.
qATP values were calculated based on fermentation product formation and expected used biochemical pathways. These were averaged and used for calculation of the ATP required for maintenance and for growth. These data were subsequently used to calculate the qATP at the maximal growth rate by extrapolation
Cellular size and granularity (measured by FACS) during glucose pulse. Glucose pulse was performed in anaerobically growing yeast Saccharomyces cerevisiae in steady state chemostat (D = 0.1 h-1) and transent concentrations of the extra- and intracellular metabolites from central carbon metabolism (e.g. glycolysis, PPP, glycerol, purines, etc) were measured.
S. pyogenes was grown in C-limited cultures at pH 6.5 and 7.5 and at a growth rate of 0.05
The glnA mutant strain shows decreased growth in low glutamine and excess glutamate conditions and no growth at all in low glutamine and low glutamate conditions. Preliminary results of glucose-limited chemostat cultures indicate a reversion of the pH dependency of the shift from homolactic to more mixed acid fermentation:
wild type - lactate/formate ratio at pH 6.5 = 11.8, at pH 7.5 = 2.8
glnA mutant -
This Excel template is for use with affy Chip-chip data where the results of the primary analysis are reported in BAR and BED files. It was created from a template on the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/geo_affy.html) and modified to conform to the SysMO JERM for transcriptomics.
This Excel template is an example taken from the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html#GAtemplates) which has been modified to conform to the SysMO JERM (Just Enough Results Model).
Using templates helps with searching and comparing data as well as making it easier to submit data to public repositories for publications.
Combined taxonomy table of abundance of OTUs (Operational Taxonomy Units) in both freshwater and saltwater samples from 16S V3-V4 Illumina sequencing of gut microbiota. Primers used for sequencing are given in https://fairdomhub.org/sops/270
The OTUs are presented in number of counts per sample (n=349). Each row represent one sample. Raw data are available in the Sequence Read Archive database under accession number SRP119730 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP119730).
The output includes the similarity matrix of LDH enzymes based on comparison of the electrostatic potentials at allosteric and catalytic binding sites, separately. The similarity indices were generated by the PIPSA program (http://projects.villa-bosch.de/mcmsoft/pipsa/3.0/).
Comparison of Kcat values model and values from literature. Model values are based on Vmax enzyme parameters (maximum activity per enzyme molecule).
Literature values are largely based on whole cell enzyme extract assays and do not take into account allosteric control. In addition activity is measured at varying time points and varying conditions. The error based on differences in enzyme concentrations at different time points and the error in protein copy number measurements is taken into account
Comparison of model SS metabolite concentrations with measured values using 1000x sampling from the Gausian distribution of the measured values based on multiple replicates per measured conditions.
Graphs showing the distribution of measured and simulated metabolite concentration for 95 mutand (KO, OE), perturbation and time series measurements. Model simulations performed using 24h proteomics with modification of enzyme parameters for KO and OE mutants.
In order to construct an in vivo-like buffer for S. pyogenes, the intracellular concentrations of Fe, K, Mg, Mn Na, P and S elements were determined via ICP-AES (inductively coupled plasma atomic emissionspectroscopy) method at the Institute of Land Use, University of Rostock. The samples for the analysis were obtained from a steady state culture grown on CDM-LAB with glucose.
B. subtilis was grown in M9 media with glucose as carbon source and the samples for RNA were harvested at OD600nm- 0.4 , 1.3 and 1.0 ). Culture was done at 37°C and samples at OD600nm- 0.4(Exponential), OD600nm- 1.3 (Early stationary), OD600nm-1.0(Late Stationary). All the samples were analysed for transcriptome as biological triplicates.
- automated integration of transcriptomic and reactome data to differential equations
- structure of the paths is maintained
- continuous fermentation model in standard format for data integration, two component model (cell and fermenter)
call >> Kegg2SBToolbox2('model_map.txt', 'reactions_compounds_final.csv','extracellular.txt','testmodel.txt') for an example
model_map is the desired mapping of species,
reaction_compounds_final.csv is the entire network,
extracellular.txt is a manual
Kinetic entry 14792
SBML for query http://sabiork.h-its.org/sabioRestWebServices/kineticLaws/14792
Supplementary File S2: Kinetic entries for human galactose metabolism.
SBML for query: http://sabiork.h-its.org/sabioRestWebServices/searchKineticLaws/sbml?q=Pathway:%22galactose%20metabolism%22%20AND%20Organism:%22homo%20sapiens%22