scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1008031837 |
P356 | DOI | 10.1038/NBT0702-649 |
P698 | PubMed publication ID | 12089538 |
P50 | author | Bernhard Palsson | Q4894212 |
P2860 | cites work | The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities | Q24655269 |
Genome-wide location and function of DNA binding proteins | Q28131765 | ||
Identifying regulatory networks by combinatorial analysis of promoter elements | Q28215713 | ||
Metabolite profiling for plant functional genomics | Q28540952 | ||
In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data | Q29618471 | ||
RegulonDB (version 3.2): transcriptional regulation and operon organization in Escherichia coli K-12 | Q30977010 | ||
Reverse engineering gene networks using singular value decomposition and robust regression | Q34028331 | ||
Regulation of Gene Expression in Flux Balance Models of Metabolism | Q34101809 | ||
Transcriptional regulation in constraints-based metabolic models of Escherichia coli | Q34128076 | ||
Metabolic modeling of microbial strains in silico. | Q34179356 | ||
Deciphering gene expression regulatory networks. | Q34563244 | ||
MPW: the Metabolic Pathways Database | Q34649297 | ||
Determination of redundancy and systems properties of the metabolic network of Helicobacter pylori using genome-scale extreme pathway analysis. | Q35784412 | ||
Systems properties of the Haemophilus influenzae Rd metabolic genotype | Q41671443 | ||
Stoichiometric model of Escherichia coli metabolism: incorporation of growth-rate dependent biomass composition and mechanistic energy requirements | Q45108799 | ||
The challenges of in silico biology | Q46255466 | ||
Metabolic Capabilities of Escherichia coli: I. Synthesis of Biosynthetic Precursors and Cofactors | Q47770730 | ||
Simple constrained-optimization view of acetate overflow in E. coli. | Q54715790 | ||
P433 | issue | 7 | |
P921 | main subject | in silico | Q192572 |
P304 | page(s) | 649-650 | |
P577 | publication date | 2002-07-01 | |
P1433 | published in | Nature Biotechnology | Q1893837 |
P1476 | title | In silico biology through "omics". | |
P478 | volume | 20 |
Q31168510 | A Proteomic Perspective on the Bacterial Adaptation to Cold: Integrating OMICs Data of the Psychrotrophic Bacterium Exiguobacterium antarcticum B7. |
Q86935153 | Alterations in cancer cell metabolism: the Warburg effect and metabolic adaptation |
Q21194867 | An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) |
Q31170155 | Analysing Algorithms and Data Sources for the Tissue-Specific Reconstruction of Liver Healthy and Cancer Cells |
Q31109523 | E-Flux2 and SPOT: Validated Methods for Inferring Intracellular Metabolic Flux Distributions from Transcriptomic Data |
Q36869423 | Effect of single nucleotide polymorphisms on Affymetrix match-mismatch probe pairs |
Q30882392 | Genome-Scale Analysis of the Uses of the Escherichia coli Genome: Model-Driven Analysis of Heterogeneous Data Sets |
Q35101082 | Genome-scale microbial in silico models: the constraints-based approach. |
Q45974850 | In reply: ‘Dynamic analysis of optimality in myocardial energy metabolism under normal and ischemic conditions'. |
Q33668408 | In silico design for adenosine monophosphate-activated protein kinase agonist from traditional chinese medicine for treatment of metabolic syndromes. |
Q24795542 | Integrated analysis of metabolic phenotypes in Saccharomyces cerevisiae |
Q30425389 | Integration of expression data in genome-scale metabolic network reconstructions |
Q31066785 | Integration of omics data: how well does it work for bacteria? |
Q35137889 | Investigation of the novel lead of melanocortin 1 receptor for pigmentary disorders. |
Q33884554 | LASSIM-A network inference toolbox for genome-wide mechanistic modeling |
Q37849847 | Mathematical models of cell factories: moving towards the core of industrial biotechnology |
Q30868340 | Methods for integration of transcriptomic data in genome-scale metabolic models |
Q24812834 | Modeling Lactococcus lactis using a genome-scale flux model |
Q46515020 | Myocardial contractile and metabolic properties of familial hypertrophic cardiomyopathy caused by cardiac troponin I gene mutations: a simulation study |
Q28212164 | Network-based analysis of metabolic regulation in the human red blood cell |
Q26823013 | New types of experimental data shape the use of enzyme kinetics for dynamic network modeling |
Q59119813 | Omics in Weed Science: A Perspective from Genomics, Transcriptomics, and Metabolomics Approaches |
Q57818418 | On the complete determination of biological systems |
Q28652803 | OpenWorm: an open-science approach to modeling Caenorhabditis elegans |
Q58964762 | Pre-genomics training hinders Indian biotech |
Q30887817 | Putting data integration into practice: using biomedical terminologies to add structure to existing data sources |
Q30882253 | Reconciling Gene Expression Data With Known Genome-Scale Regulatory Network Structures |
Q36052575 | Revealing metabolic phenotypes in plants: inputs from NMR analysis |
Q43566559 | Systems biology in animal sciences. |
Q73093315 | Systems biology unplugged |
Q31153581 | TRFBA: an algorithm to integrate genome-scale metabolic and transcriptional regulatory networks with incorporation of expression data |
Q33728907 | The challenges of integrating multi-omic data sets |
Q51602866 | The evolution of molecular biology into systems biology |
Q35109629 | Thirteen years of building constraint-based in silico models of Escherichia coli |
Q35062587 | Two approaches for metabolic pathway analysis? |
Q37668704 | Understanding Physiology in the Continuum: Integration of Information from Multiple -Omics Levels |
Q33922958 | Unraveling human complexity and disease with systems biology and personalized medicine |
Search more.