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Trends in cell biology, v.25 no.8, 2015년, pp.440 - 445
Eddy, J.A. , Funk, C.C. , Price, N.D.
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In the shared pursuit of elucidating detailed mechanisms of cell function, systems biology presents a natural complement to ongoing efforts in cell biology. Systems biology aims to characterize biological systems through integrated and quantitative modeling of cellular information. The process of mo...
Stud. Hist. Philos. Biol. Biomed. Sci. Bechtel 36 421 2005 10.1016/j.shpsc.2005.03.010 Explanation: a mechanist alternative
Kritikou, E. et al. eds (2006) Systems biology: a user's guide. Nature Cell Biology/Nature Reviews Molecular Cell Biology. Published online November 2006. http://www.nature.com/focus/systemsbiologyuserguide/index.html
Nat. Protoc. Huang 4 44 2008 10.1038/nprot.2008.211 Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Nucleic Acids Res. Kanehisa 28 27 2000 10.1093/nar/28.1.27 KEGG: Kyoto Encyclopedia of Genes and Genomes
Proc. Natl. Acad. Sci. U.S.A. Subramanian 102 15545 2005 10.1073/pnas.0506580102 From the cover: gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles
Proc. Natl. Acad. Sci. U.S.A. Duarte 104 1777 2007 10.1073/pnas.0610772104 Global reconstruction of the human metabolic network based on genomic and bibliomic data
Nat. Biotechnol. Thiele 31 419 2013 10.1038/nbt.2488 A community-driven global reconstruction of human metabolism
Mol. Syst. Biol. Brooks 10 740 2014 10.15252/msb.20145160 A system-level model for the microbial regulatory genome
Mol. Syst. Biol. McCloskey 9 661 2013 10.1038/msb.2013.18 Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli
Nat. Rev. Microbiol. Price 2 886 2004 10.1038/nrmicro1023 Genome-scale models of microbial cells: evaluating the consequences of constraints
Nat. Rev. Genet. Barabasi 5 101 2004 10.1038/nrg1272 Network biology: understanding the cell's functional organization
J. Cell Sci. Janes 126 1913 2013 10.1242/jcs.112045 Models of signalling networks - what cell biologists can gain from them and give to them
Nat. Rev. Mol. Cell Biol. Papin 6 99 2005 10.1038/nrm1570 Reconstruction of cellular signalling networks and analysis of their properties
Science Covert 309 1854 2005 10.1126/science.1112304 Achieving stability of lipopolysaccharide-induced NF-κB activation
Science Werner 309 1857 2005 10.1126/science.1113319 Stimulus specificity of gene expression programs determined by temporal control of IKK activity
Proc. Natl. Acad. Sci. U.S.A. Garmaroudi 107 17053 2010 10.1073/pnas.1006478107 Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection
Science Bhalla 297 1018 2002 10.1126/science.1068873 MAP kinase phosphatase as a locus of flexibility in a mitogen-activated protein kinase signaling network
Cell Janes 135 343 2008 10.1016/j.cell.2008.08.034 Cytokine-induced signaling networks prioritize dynamic range over signal strength
PLoS Biol. Albeck 6 2831 2008 10.1371/journal.pbio.0060299 Modeling a snap-action, variable-delay switch controlling extrinsic cell death
Cell Peter 144 970 2011 10.1016/j.cell.2011.02.017 Evolution of gene regulatory networks controlling body plan development
Cell Chau 151 320 2012 10.1016/j.cell.2012.08.040 Designing synthetic regulatory networks capable of self-organizing cell polarization
Cell Ma 138 760 2009 10.1016/j.cell.2009.06.013 Defining network topologies that can achieve biochemical adaptation
PLoS Comput. Biol. Shah 7 e1002085 2011 10.1371/journal.pcbi.1002085 Robust network topologies for generating switch-like cellular responses
Mol. Syst. Biol. Chen 5 239 2009 10.1038/msb.2008.74 Input-output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data
Cell Nakakuki 141 884 2010 10.1016/j.cell.2010.03.054 Ligand-specific c-Fos expression emerges from the spatiotemporal control of ErbB network dynamics
Proc. Natl. Acad. Sci. U.S.A. Yeger-Lotem 101 5934 2004 10.1073/pnas.0306752101 Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction
Nat. Rev. Genet. Alon 8 450 2007 10.1038/nrg2102 Network motifs: theory and experimental approaches
Nat. Biotechnol. Kuepfer 25 1001 2007 10.1038/nbt1330 Ensemble modeling for analysis of cell signaling dynamics
Mol. Syst. Biol. Ideker 8 565 2012 10.1038/msb.2011.99 Differential network biology
Cell Shah 153 1589 2013 10.1016/j.cell.2013.05.049 Rate-limiting steps in yeast protein translation
Cell Ideker 144 860 2011 10.1016/j.cell.2011.03.007 Boosting signal-to-noise in complex biology: prior knowledge is power
Curr. Opin. Biotechnol. Price 18 365 2007 10.1016/j.copbio.2007.07.009 Biochemical and statistical network models for systems biology
Genes Dev. Blais 19 1499 2005 10.1101/gad.1325605 Constructing transcriptional regulatory networks
Cell Neph 150 1274 2012 10.1016/j.cell.2012.04.040 Circuitry and dynamics of human transcription factor regulatory networks
Cell Karr 150 389 2012 10.1016/j.cell.2012.05.044 A whole-cell computational model predicts phenotype from genotype
Nat. Biotechnol. Henry 28 977 2010 10.1038/nbt.1672 High-throughput generation, optimization and analysis of genome-scale metabolic models
Curr. Opin. Biotechnol. Kim 23 617 2012 10.1016/j.copbio.2011.10.007 Recent advances in reconstruction and applications of genome-scale metabolic models
Nat. Biotechnol. Monk 32 447 2014 10.1038/nbt.2870 Optimizing genome-scale network reconstructions
BMC Syst. Biol. Wang 6 153 2012 10.1186/1752-0509-6-153 Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE
PLoS Comput. Biol. Agren 8 e1002518 2012 10.1371/journal.pcbi.1002518 Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT
Mol. Syst. Biol. Yizhak 10 744 2014 10.15252/msb.20145746 A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration
Cell Jerby-Arnon 158 1199 2014 10.1016/j.cell.2014.07.027 Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality
Nature Frezza 477 225 2011 10.1038/nature10363 Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase
PLoS ONE Stempler 9 e105383 2014 10.1371/journal.pone.0105383 Integrating transcriptomics with metabolic modeling predicts biomarkers and drug targets for Alzheimer's disease
FEBS Open Biol. Sertba 4 542 2014 10.1016/j.fob.2014.05.006 Systematic analysis of transcription-level effects of neurodegenerative diseases on human brain metabolism by a newly reconstructed brain-specific metabolic network
Nat. Commun. Lerman 3 929 2012 10.1038/ncomms1928 In silico method for modelling metabolism and gene product expression at genome scale
Proc. Natl. Acad. Sci. U.S.A. Chandrasekaran 107 17845 2010 10.1073/pnas.1005139107 Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis
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