| scholarly article | Q13442814 |
| P356 | DOI | 10.1074/JBC.274.25.17410 |
| P698 | PubMed publication ID | 10364169 |
| P2093 | author name string | Edwards JS | |
| Palsson BO | |||
| P2860 | cites work | The complete genome sequence of the gastric pathogen Helicobacter pylori | Q22122352 |
| Genomic sequence of a Lyme disease spirochaete, Borrelia burgdorferi | Q22122357 | ||
| The genome sequence of Rickettsia prowazekii and the origin of mitochondria | Q22122428 | ||
| Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
| Cluster analysis and display of genome-wide expression patterns | Q24644463 | ||
| Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization | Q24657378 | ||
| Methods for generating precise deletions and insertions in the genome of wild-type Escherichia coli: application to open reading frame characterization | Q24676777 | ||
| Systematic identification of essential genes by in vitro mariner mutagenesis | Q24678191 | ||
| Genome sequence of the nematode C. elegans: a platform for investigating biology | Q27860527 | ||
| Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale | Q27860705 | ||
| Whole-genome random sequencing and assembly of Haemophilus influenzae Rd | Q27860765 | ||
| A Genomic Perspective on Protein Families | Q27860913 | ||
| The transcriptional program in the response of human fibroblasts to serum | Q28292705 | ||
| Automatic extraction of motifs represented in the hidden Markov model from a number of DNA sequences | Q32060619 | ||
| How will bioinformatics influence metabolic engineering? | Q33587071 | ||
| Intracellular kinetics of a growing virus: a genetically structured simulation for bacteriophage T7. | Q34797648 | ||
| The underlying pathway structure of biochemical reaction networks | Q36465790 | ||
| Metabolism and evolution of Haemophilus influenzae deduced from a whole-genome comparison with Escherichia coli | Q36819467 | ||
| Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies. | Q38334023 | ||
| Detection of evolving viruses | Q39469211 | ||
| RegulonDB: a database on transcriptional regulation in Escherichia coli | Q39722191 | ||
| Simplified Media for the Growth of Haemophilus influenzae from Clinical and Normal Flora Sources | Q40729279 | ||
| Life in mucus: sugar metabolism in Haemophilus influenzae | Q41401460 | ||
| Year of the genome | Q41462592 | ||
| Network analysis of intermediary metabolism using linear optimization. II. Interpretation of hybridoma cell metabolism | Q41639252 | ||
| The coming Kuhnian revolution in biology | Q46699340 | ||
| Metabolic Capabilities of Escherichia coli: I. Synthesis of Biosynthetic Precursors and Cofactors | Q47770730 | ||
| From specific gene regulation to genomic networks: a global analysis of transcriptional regulation in Escherichia coli | Q47817916 | ||
| Network analysis of intermediary metabolism using linear optimization. I. Development of mathematical formalism | Q52425486 | ||
| A genome-based approach for the identification of essential bacterial genes | Q52531899 | ||
| Parametric sensitivity of stoichiometric flux balance models applied to wild-type Escherichia coli metabolism. | Q54619019 | ||
| Biochemical production capabilities of Escherichia coli. | Q54656016 | ||
| A Planned Boost for Genome Sequencing, But the Plan Is in Flux | Q55067709 | ||
| Metabolic Flux Balancing: Basic Concepts, Scientific and Practical Use | Q56773460 | ||
| ON ELEMENTARY FLUX MODES IN BIOCHEMICAL REACTION SYSTEMS AT STEADY STATE | Q57320469 | ||
| P433 | issue | 25 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Haemophilus influenzae | Q1141979 |
| P304 | page(s) | 17410-17416 | |
| P577 | publication date | 1999-06-01 | |
| P1433 | published in | Journal of Biological Chemistry | Q867727 |
| P1476 | title | Systems properties of the Haemophilus influenzae Rd metabolic genotype | |
| P478 | volume | 274 |
| Q27671818 | A Glutathione-Dependent Detoxification System Is Required for Formaldehyde Resistance and Optimal Survival of Neisseria meningitidis in Biofilms |
| Q33722800 | A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1. |
| Q34360209 | A glutathione-based system for defense against carbonyl stress in Haemophilus influenzae. |
| Q27014752 | A metabolic network approach for the identification and prioritization of antimicrobial drug targets |
| Q34669495 | A metabolite-centric view on flux distributions in genome-scale metabolic models |
| Q34063123 | A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology |
| Q41686742 | A new insight into the role of intracellular nickel levels for the stress response, surface properties and twitching motility by Haemophilus influenzae. |
| Q57905323 | A novel nickel responsive MerR-like regulator, NimR, from Haemophilus influenzae |
| Q46534952 | A road map for the development of community systems (CoSy) biology |
| Q34180306 | Analysis of metabolic capabilities using singular value decomposition of extreme pathway matrices |
| Q47266625 | Analyzing and Designing Cell Factories with OptFlux |
| Q36108112 | Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism. |
| Q29031028 | Applications of genome-scale metabolic reconstructions |
| Q37971381 | Applications of system-level models of metabolism for analysis of bacterial physiology and identification of new drug targets |
| Q38017425 | Are we ready for genome-scale modeling in plants? |
| Q24817211 | Automation of gene assignments to metabolic pathways using high-throughput expression data |
| Q21284353 | BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions |
| Q42163019 | Calculability analysis in underdetermined metabolic networks illustrated by a model of the central metabolism in purple nonsulfur bacteria |
| Q28474249 | Characterization of growth and metabolism of the haloalkaliphile Natronomonas pharaonis |
| Q33574466 | Characterization of lactate utilization and its implication on the physiology of Haemophilus influenzae |
| Q43234569 | Characterization of metabolism in the Fe(III)-reducing organism Geobacter sulfurreducens by constraint-based modeling |
| Q43824264 | Characterizing the metabolic phenotype: A phenotype phase plane analysis |
| Q51924640 | Combining flux and energy balance analysis to model large-scale biochemical networks. |
| Q37592224 | Comparative genomic analysis reveals distinct genotypic features of the emerging pathogen Haemophilus influenzae type f. |
| Q38232030 | Comparison and analysis of objective functions in flux balance analysis |
| Q34785750 | Computational strategies for a system-level understanding of metabolism |
| Q33422147 | Connecting extracellular metabolomic measurements to intracellular flux states in yeast |
| Q34257056 | Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods |
| Q26767203 | Constraint Based Modeling Going Multicellular |
| Q46323402 | Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic Systems |
| Q38178893 | Constraint-based models predict metabolic and associated cellular functions. |
| Q26851071 | Current state of genome-scale modeling in filamentous fungi |
| Q66679640 | Current status and applications of genome-scale metabolic models |
| Q57038484 | Current trends in modeling host-pathogen interactions |
| Q35784412 | Determination of redundancy and systems properties of the metabolic network of Helicobacter pylori using genome-scale extreme pathway analysis. |
| Q28478889 | Differential producibility analysis (DPA) of transcriptomic data with metabolic networks: deconstructing the metabolic response of M. tuberculosis |
| Q37725583 | Elucidating the interactions between the human gut microbiota and its host through metabolic modeling |
| Q55517656 | Enumerating all possible biosynthetic pathways in metabolic networks. |
| Q33502363 | Evolutionary constraints permeate large metabolic networks |
| Q28472194 | Evolutionary plasticity and innovations in complex metabolic reaction networks |
| Q35740048 | Exhaustive Analysis of a Genotype Space Comprising 10(15 )Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation. |
| Q24682088 | Extreme pathway lengths and reaction participation in genome-scale metabolic networks |
| Q43740877 | Flux balance analysis of biological systems: applications and challenges. |
| Q21145695 | Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs |
| Q40497938 | Flux coupling analysis of genome-scale metabolic network reconstructions. |
| Q26765935 | Formaldehyde Stress Responses in Bacterial Pathogens |
| Q47418924 | From Annotated Genomes to Metabolic Flux Models and Kinetic Parameter Fitting |
| Q97521221 | From bag-of-genes to bag-of-genomes: metabolic modelling of communities in the era of metagenome-assembled genomes |
| Q33292444 | From bit to it: how a complex metabolic network transforms information into living matter |
| Q28082185 | From next-generation sequencing to systematic modeling of the gut microbiome |
| Q28538178 | Functional annotation of conserved hypothetical proteins from Haemophilus influenzae Rd KW20 |
| Q36210637 | Functional genomics tools applied to plant metabolism: a survey on plant respiration, its connections and the annotation of complex gene functions |
| Q42130341 | GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism |
| Q37442434 | Gene expression profiling and the use of genome-scale in silico models of Escherichia coli for analysis: providing context for content |
| Q35845515 | Genetic code evolution reveals the neutral emergence of mutational robustness, and information as an evolutionary constraint |
| Q38063161 | Genome-scale metabolic model in guiding metabolic engineering of microbial improvement |
| Q39679903 | Genome-scale metabolic model of Helicobacter pylori 26695. |
| Q35101082 | Genome-scale microbial in silico models: the constraints-based approach. |
| Q46308193 | Genome-scale modeling of yeast: chronology, applications and critical perspectives. |
| Q29616789 | Genome-scale models of microbial cells: evaluating the consequences of constraints |
| Q24561581 | Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network |
| Q42059429 | Grand Challenges in Plant Systems Biology: Closing the Circle(s) |
| Q33677779 | IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models |
| Q35952157 | Implications of gene networks for understanding resilience and vulnerability in the kidney branching program |
| Q46030230 | In silico biology through "omics". |
| Q29618471 | In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data |
| Q35162038 | Initial proteome analysis of model microorganism Haemophilus influenzae strain Rd KW20. |
| Q24795542 | Integrated analysis of metabolic phenotypes in Saccharomyces cerevisiae |
| Q30970854 | Integration of gene expression data into genome-scale metabolic models |
| Q31120979 | Integrative analysis of human omics data using biomolecular networks |
| Q35596545 | Interplay between constraints, objectives, and optimality for genome-scale stoichiometric models |
| Q91796642 | Machine and deep learning meet genome-scale metabolic modeling |
| Q37853843 | Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways |
| Q21194892 | Metabolic control analysis: biological applications and insights |
| Q57797074 | Metabolic determinants of enzyme evolution in a genome-scale bacterial metabolic network |
| Q36156264 | Metabolic engineering in the -omics era: elucidating and modulating regulatory networks |
| Q37063035 | Metabolic flux analysis and metabolic engineering of microorganisms |
| Q21284379 | Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions |
| Q34179356 | Metabolic modeling of microbial strains in silico. |
| Q34631271 | Metabolic modelling of microbes: the flux-balance approach |
| Q37962486 | Metabolic network modeling and simulation for drug targeting and discovery |
| Q37601038 | Metabolic systems biology |
| Q37615152 | Metabolic versatility in Haemophilus influenzae: a metabolomic and genomic analysis |
| Q24812834 | Modeling Lactococcus lactis using a genome-scale flux model |
| Q42657070 | Modeling hybridoma cell metabolism using a generic genome-scale metabolic model of Mus musculus |
| Q43791663 | Molecular evolution in large genetic networks: does connectivity equal constraint? |
| Q40902077 | Multi-scale modeling of Arabidopsis thaliana response to different CO2 conditions: From gene expression to metabolic flux |
| Q38102990 | Novel insights into obesity and diabetes through genome-scale metabolic modeling |
| Q46774634 | Optimizing genome-scale network reconstructions |
| Q36837782 | Parasites lead to evolution of robustness against gene loss in host signaling networks |
| Q36248806 | Pathway-Consensus Approach to Metabolic Network Reconstruction for Pseudomonas putida KT2440 by Systematic Comparison of Published Models |
| Q31165449 | Perspectives and Challenges of Microbial Application for Crop Improvement |
| Q55061666 | Phenotypic innovation through recombination in genome-scale metabolic networks. |
| Q34190592 | Porin OmpP2 of Haemophilus influenzae shows specificity for nicotinamide-derived nucleotide substrates |
| Q92876480 | Predicting Metabolism from Gene Expression in an Improved Whole-Genome Metabolic Network Model of Danio rerio |
| Q78482210 | Prediction, assessment and validation of protein interaction maps in bacteria |
| Q30439358 | Proteomic and network analysis characterize stage-specific metabolism in Trypanosoma cruzi |
| Q89659479 | Quantitative Connection between Cell Size and Growth Rate by Phospholipid Metabolism |
| Q43976166 | Querying metabolism under different physiological constraints |
| Q104455795 | Recent advances in constraint and machine learning-based metabolic modeling by leveraging stoichiometric balances, thermodynamic feasibility and kinetic law formalisms |
| Q123351264 | Reconciliation and evolution of Penicillium rubens genome-scale metabolic networks–What about specialised metabolism? |
| Q35562165 | Reconstructing genome-scale metabolic models with merlin |
| Q46083927 | Reconstructing metabolic flux vectors from extreme pathways: defining the alpha-spectrum |
| Q99594982 | Reconstructing organisms in silico: genome-scale models and their emerging applications |
| Q35574107 | Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model |
| Q39577241 | Reconstruction of the Saccharopolyspora erythraea genome-scale model and its use for enhancing erythromycin production |
| Q40549061 | Reconstruction of the central carbon metabolism of Aspergillus niger |
| Q46796176 | Reconstruction, modeling & analysis of Halobacterium salinarum R-1 metabolism |
| Q34101809 | Regulation of Gene Expression in Flux Balance Models of Metabolism |
| Q44760695 | Resolving Cell Composition Through Simple Measurements, Genome-Scale Modeling, and a Genetic Algorithm |
| Q41203813 | Revisiting the chlorophyll biosynthesis pathway using genome scale metabolic model of Oryza sativa japonica |
| Q52169621 | Robustness against mutations in genetic networks of yeast |
| Q37087145 | Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network |
| Q43707335 | Stoichiometric growth model for riboflavin-producing Bacillus subtilis |
| Q44980470 | Stoichiometric network constraints on xylose metabolism by recombinant Saccharomyces cerevisiae |
| Q38148789 | Synechocystis sp. PCC6803 metabolic models for the enhanced production of hydrogen |
| Q87376004 | Systematic identification of Lactobacillus plantarum auxotrophs for fermented Nham using genome-scale metabolic model |
| Q44538085 | Systemic metabolic reactions are obtained by singular value decomposition of genome-scale stoichiometric matrices |
| Q26772223 | Systems Biology Approaches to Understand Natural Products Biosynthesis |
| Q33436246 | Systems analysis of bioenergetics and growth of the extreme halophile Halobacterium salinarum |
| Q45008952 | Systems biology and the integration of mechanistic explanation and mathematical explanation |
| Q24655269 | The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities |
| Q52359757 | The Genome-Scale Integrated Networks in Microorganisms |
| Q51285896 | The Landscape of Evolution: Reconciling Structural and Dynamic Properties of Metabolic Networks in Adaptive Diversifications |
| Q35001424 | The development of a fully-integrated immune response model (FIRM) simulator of the immune response through integration of multiple subset models. |
| Q29616019 | The effects of alternate optimal solutions in constraint-based genome-scale metabolic models |
| Q51602866 | The evolution of molecular biology into systems biology |
| Q36171483 | The potential for non-adaptive origins of evolutionary innovations in central carbon metabolism. |
| Q34664811 | The rise of computational biology |
| Q35098969 | There is a specific response to pH by isolates of Haemophilus influenzae and this has a direct influence on biofilm formation |
| Q38632109 | Thermodynamic Constraints Improve Metabolic Networks |
| Q35109629 | Thirteen years of building constraint-based in silico models of Escherichia coli |
| Q34142945 | Tools for metabolic engineering in Streptomyces |
| Q57990691 | Toward Applications of Genomics and Metabolic Modeling to Improve Algal Biomass Productivity |
| Q36371202 | Towards multidimensional genome annotation |
| Q80833903 | Two-dimensional annotation of genomes |
| Q34187246 | Uniform sampling of steady-state flux spaces: means to design experiments and to interpret enzymopathies. |
| Q51481180 | Using Flux Balance Analysis to Guide Microbial Metabolic Engineering |
| Q92742596 | Using Genome-Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data |
| Q28085366 | Using Genome-scale Models to Predict Biological Capabilities |
| Q35624874 | Using the reconstructed genome‐scale human metabolic network to study physiology and pathology |
| Q28246806 | Using the topology of metabolic networks to predict viability of mutant strains |
| Q36929022 | What do cells actually want? |
| Q33958875 | iAB-RBC-283: A proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states |
| Q38670060 | redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models |
Search more.