Misselbeck et al., 2017 - Google Patents
A hybrid stochastic model of folate-mediated one-carbon metabolism: Effect of the common C677T MTHFR variant on de novo thymidylate biosynthesisMisselbeck et al., 2017
View HTML- Document ID
- 17185968567838914837
- Author
- Misselbeck K
- Marchetti L
- Field M
- Scotti M
- Priami C
- Stover P
- Publication year
- Publication venue
- Scientific reports
External Links
Snippet
Folate-mediated one-carbon metabolism (FOCM) is an interconnected network of metabolic pathways, including those required for the de novo synthesis of dTMP and purine nucleotides and for remethylation of homocysteine to methionine. Mouse models of folate …
- 235000019152 folic acid 0 title abstract description 94
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
- G01N33/502—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics for testing non-proliferative effects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Misselbeck et al. | A hybrid stochastic model of folate-mediated one-carbon metabolism: Effect of the common C677T MTHFR variant on de novo thymidylate biosynthesis | |
Beaudin et al. | Insights into metabolic mechanisms underlying folate‐responsive neural tube defects: a minireview | |
Mardinoglu et al. | Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease | |
Bertrand et al. | Influence of cobalamin scarcity on diatom molecular physiology and identification of a cobalamin acquisition protein | |
Hustad et al. | The methylenetetrahydrofolate reductase 677C→ T polymorphism as a modulator of a B vitamin network with major effects on homocysteine metabolism | |
Imbard et al. | Neural tube defects, folic acid and methylation | |
Grarup et al. | Genetic architecture of vitamin B12 and folate levels uncovered applying deeply sequenced large datasets | |
Palmer et al. | Folate rescues vitamin B12 depletion-induced inhibition of nuclear thymidylate biosynthesis and genome instability | |
Aurich et al. | Prediction of intracellular metabolic states from extracellular metabolomic data | |
Liu et al. | Gene‐diet‐interactions in folate‐mediated one‐carbon metabolism modify colon cancer risk | |
Duncan et al. | The relationship between intracellular and plasma levels of folate and metabolites in the methionine cycle: a model | |
Xu et al. | Polymorphisms of one-carbon-metabolizing genes and risk of breast cancer in a population-based study | |
Duncan et al. | A population model of folate-mediated one-carbon metabolism | |
Cordes et al. | Integration of genome-scale metabolic networks into whole-body PBPK models shows phenotype-specific cases of drug-induced metabolic perturbation | |
Özcan et al. | Reconstructed metabolic network models predict flux-level metabolic reprogramming in glioblastoma | |
Paul et al. | Exploring gene knockout strategies to identify potential drug targets using genome-scale metabolic models | |
Deo et al. | Interpreting metabolomic profiles using unbiased pathway models | |
Bailey et al. | Folate status in women of reproductive age as basis of neural tube defect risk assessment | |
Misselbeck et al. | The 5-formyltetrahydrofolate futile cycle reduces pathway stochasticity in an extended hybrid-stochastic model of folate-mediated one-carbon metabolism | |
Puniya et al. | Integrative computational approach identifies drug targets in CD4+ T-cell-mediated immune disorders | |
Ulrich et al. | Mathematical modeling of folate metabolism: predicted effects of genetic polymorphisms on mechanisms and biomarkers relevant to carcinogenesis | |
Giommi et al. | Metabolomic and transcript analysis revealed a sex-specific effect of glyphosate in zebrafish liver | |
Singh et al. | Folate gene polymorphisms MTR A2756G, MTRR A66G, and BHMT G742A and risk for coronary artery disease: a meta-analysis | |
Pagliarini et al. | In silico modeling of liver metabolism in a human disease reveals a key enzyme for histidine and histamine homeostasis | |
Sahoo et al. | Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma |