Reed, 2005 - Google Patents
Model driven analysis of Escherichia coli metabolismReed, 2005
View PDF- Document ID
- 14997943538948543737
- Author
- Reed J
- Publication year
External Links
Snippet
Diverse datasets, including genomic, transcriptomic, proteomic, and metabolomic data are becoming readily available, and there is a need to integrate these datasets within a modeling framework. Constraint-based metabolic and regulatory models of Escherichia coli …
- 241000588724 Escherichia coli 0 title abstract description 108
Classifications
-
- 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
- G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
-
- 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
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/702—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for analysis and planning of chemical reactions and syntheses, e.g. synthesis design, reaction prediction, mechanism elucidation
-
- 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
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- 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
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- 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
- 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
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- 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
- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
-
- 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
- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
- G06F17/2827—Example based machine translation; Alignment
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Belliveau et al. | Fundamental limits on the rate of bacterial growth and their influence on proteomic composition | |
| Kaleta et al. | Metabolic costs of amino acid and protein production in Escherichia coli | |
| Schilling et al. | Assessment of the metabolic capabilities of Haemophilus influenzae Rd through a genome-scale pathway analysis | |
| Chen et al. | Synergy between 13C-metabolic flux analysis and flux balance analysis for understanding metabolic adaption to anaerobiosis in E. coli | |
| Park et al. | Metabolite concentrations, fluxes and free energies imply efficient enzyme usage | |
| Sheikh et al. | Modeling hybridoma cell metabolism using a generic genome‐scale metabolic model of Mus musculus | |
| Dreyfuss et al. | Reconstruction and validation of a genome-scale metabolic model for the filamentous fungus Neurospora crassa using FARM | |
| Holzhütter | The principle of flux minimization and its application to estimate stationary fluxes in metabolic networks | |
| Jol et al. | System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes | |
| US8311790B2 (en) | Reverse engineering genome-scale metabolic network reconstructions for organisms with incomplete genome annotation and developing constraints using proton flux states and numerically-determined sub-systems | |
| US20030224363A1 (en) | Compositions and methods for modeling bacillus subtilis metabolism | |
| Contador et al. | Ensemble modeling for strain development of L-lysine-producing Escherichia coli | |
| Ataman et al. | lumpGEM: Systematic generation of subnetworks and elementally balanced lumped reactions for the biosynthesis of target metabolites | |
| Haraldsdóttir et al. | Identification of conserved moieties in metabolic networks by graph theoretical analysis of atom transition networks | |
| US7869957B2 (en) | Methods and systems to identify operational reaction pathways | |
| US9037445B2 (en) | Flux balance analysis with molecular crowding | |
| Liang et al. | Staphylococcus aureus physiological growth limitations: insights from flux calculations built on proteomics and external metabolite data | |
| Riemer et al. | A metabolite-centric view on flux distributions in genome-scale metabolic models | |
| Uygun et al. | Investigation of metabolic objectives in cultured hepatocytes | |
| US20120191434A1 (en) | Articles of manufacture and methods for modeling chinese hamster ovary (cho) cell metabolism | |
| Reed | Model driven analysis of Escherichia coli metabolism | |
| Sridharan et al. | Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity | |
| Mahalingam et al. | Prediction of FMN-binding residues with three-dimensional probability distributions of interacting atoms on protein surfaces | |
| Orth | Systems biology analysis of Escherichia coli for discovery and metabolic engineering | |
| Liu | Methodologies and analysis of metabolic flux in mammalian systems |