메뉴 건너뛰기




Volumn 7, Issue 1, 2010, Pages

Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling network in different regions of biochemical reaction space

Author keywords

[No Author keywords available]

Indexed keywords

TOLL LIKE RECEPTOR 4;

EID: 77949446554     PISSN: None     EISSN: 17424682     Source Type: Journal    
DOI: 10.1186/1742-4682-7-7     Document Type: Article
Times cited : (7)

References (63)
  • 1
    • 0033555859 scopus 로고    scopus 로고
    • Emergent properties of networks of biological signaling pathways
    • Emergent Properties of Networks of Biological Signaling Pathways. US Bhalla R Iyengar, Science 1999 283 381 387 10.1126/science.283.5400.381 9888852 (Pubitemid 129501099)
    • (1999) Science , vol.283 , Issue.5400 , pp. 381-387
    • Bhalla, U.S.1    Iyengar, R.2
  • 2
    • 0033515888 scopus 로고    scopus 로고
    • Complexity in biological signaling systems
    • DOI 10.1126/science.284.5411.92
    • Complexity in Biological Signaling Systems. G Weng US Bhalla R Iyengar, Science 1999 284 92 96 10.1126/science.284.5411.92 10102825 (Pubitemid 29282052)
    • (1999) Science , vol.284 , Issue.5411 , pp. 92-96
    • Weng, G.1    Bhalla, U.S.2    Iyengar, R.3
  • 3
    • 77951106220 scopus 로고    scopus 로고
    • Cell signaling dynamics in time and space
    • Cell Signaling Dynamics in Time and Space. B Kholodenko, Nat Rev Mol Cell Biol 2006 281 29 19925 19938
    • (2006) Nat Rev Mol Cell Biol , vol.281 , Issue.29 , pp. 19925-19938
    • Kholodenko, B.1
  • 4
    • 70350469056 scopus 로고    scopus 로고
    • The complexity of cell signaling and the need for a new mechanics
    • 10.1126/scisignal.281pe46. 19638613
    • The Complexity of Cell Signaling and the Need for a New Mechanics. WS Hlavacek JR Faeder, Science Signaling 2009 2 81 e46 10.1126/scisignal.281pe46 19638613
    • (2009) Science Signaling , vol.2 , Issue.81
    • Hlavacek, W.S.1    Faeder, J.R.2
  • 5
    • 29444440886 scopus 로고    scopus 로고
    • Topology of biological networks and reliability of information processing
    • 10.1073/pnas.0509132102. 16339314
    • Topology of Biological Networks and Reliability of Information Processing. K Klemm S Bornholdt, PNAS 2005 102 51 18414 18419 10.1073/pnas.0509132102 16339314
    • (2005) PNAS , vol.102 , Issue.51 , pp. 18414-18419
    • Klemm, K.1    Bornholdt, S.2
  • 7
    • 0033552946 scopus 로고    scopus 로고
    • Robustness in bacterial chemotaxis
    • DOI 10.1038/16483
    • Robustness in Bacterial Chemotaxis. U Alon MG Surette N Barkai S Leibler, Nature 1999 397 6715 168 171 10.1038/16483 9923680 (Pubitemid 29050922)
    • (1999) Nature , vol.397 , Issue.6715 , pp. 168-171
    • Alon, U.1    Surette, M.G.2    Barkai, N.3    Leibler, S.4
  • 8
    • 0034644270 scopus 로고    scopus 로고
    • The segment polarity network is a robust developmental module
    • DOI 10.1038/35018085
    • The Segment Polarity Network is a Robust Developmental Module. G von Dassow E Meir EM Munro GM Odell, Nature 2000 406 188 192 10.1038/35018085 10910359 (Pubitemid 30469001)
    • (2000) Nature , vol.406 , Issue.6792 , pp. 188-192
    • Von Dassow, G.1    Meir, E.2    Munro, E.M.3    Odell, G.M.4
  • 9
    • 0037076210 scopus 로고    scopus 로고
    • Robustness, flexibility, and the role of lateral inhibition in the neurogenic network
    • DOI 10.1016/S0960-9822(02)00839-4, PII S0960982202008394
    • Robustness, Flexibility, and the Role of Lateral Inhibition in the Neurogenic Network. E Meir G von Dassow E Munro GM Odel, Curr Biol 2002 12 778 786 10.1016/S0960-9822(02)00839-4 12015114 (Pubitemid 34514363)
    • (2002) Current Biology , vol.12 , Issue.10 , pp. 778-786
    • Meir, E.1    Von Dassow, G.2    Munro, E.3    Odell, G.M.4
  • 10
    • 12244309057 scopus 로고    scopus 로고
    • Transitions in the model of epithelial patterning
    • DOI 10.1002/dvdy.10218
    • Transitions in the Model of Epithelial Patterning. M Pribyl CB Muratov SY Shvartsman, Dev Dyn 2003 226 1 155 159 10.1002/dvdy.10218 12508238 (Pubitemid 36043474)
    • (2003) Developmental Dynamics , vol.226 , Issue.1 , pp. 155-159
    • Pribyl, M.1    Muratov, C.B.2    Shvartsman, S.Y.3
  • 13
    • 70249092935 scopus 로고    scopus 로고
    • A developmental systems perspective on epistasis: Computational exploration of mutational interactions in model developmental regulatory networks
    • 10.1371/journal.pone.0006823. 19738908
    • A Developmental Systems Perspective on Epistasis: Computational Exploration of Mutational Interactions in Model Developmental Regulatory Networks. J Gutiérrez, PLoS ONE 2009 4 9 6823 10.1371/journal.pone. 0006823 19738908
    • (2009) PLoS ONE , vol.4 , Issue.9 , pp. 56823
    • Gutiérrez, J.1
  • 14
    • 24644456999 scopus 로고    scopus 로고
    • Control of MAPK signalling: From complexity to what really matters
    • DOI 10.1038/sj.onc.1208817, PII 1208817
    • Control of MAPK Signaling: From Complexity to what Really Matters. JJ Hornberg B Binder FJ Bruggeman B Schoeberl, et al. Oncogene 2005 24 5533 5542 10.1038/sj.onc.1208817 16007170 (Pubitemid 43119348)
    • (2005) Oncogene , vol.24 , Issue.36 , pp. 5533-5542
    • Hornberg, J.J.1    Binder, B.2    Bruggeman, F.J.3    Schoeberl, B.4    Heinrich, R.5    Westerhoff, H.V.6
  • 15
    • 0036285634 scopus 로고    scopus 로고
    • Mathematical models of protein kinase signal transduction
    • DOI 10.1016/S1097-2765(02)00528-2
    • Mathematical Models of Protein Kinase Signal Transduction. R Heinrich BG Neel TA Rapoport, Molecular Cell 2002 9 957 970 10.1016/S1097-2765(02)00528-2 12049733 (Pubitemid 34626667)
    • (2002) Molecular Cell , vol.9 , Issue.5 , pp. 957-970
    • Heinrich, R.1    Neel, B.G.2    Rapoport, T.A.3
  • 16
    • 4544346660 scopus 로고    scopus 로고
    • Robustness of cellular functions
    • DOI 10.1016/j.cell.2004.09.008, PII S0092867404008402
    • Robustness of Cellular Functions. J Stelling U Sauer Z Szallasi FJI Doyle J Doyle, Cell 2004 118 6 675 685 10.1016/j.cell.2004.09.008 15369668 (Pubitemid 39221728)
    • (2004) Cell , vol.118 , Issue.6 , pp. 675-685
    • Stelling, J.1    Sauer, U.2    Szallasi, Z.3    Doyle III, F.J.4    Doyle, J.5
  • 18
    • 42549157090 scopus 로고    scopus 로고
    • Mathematical identification of critical reactions in the interlocked feedback model
    • 10.1371/journal.pone.0001103. 17971866
    • Mathematical Identification of Critical Reactions in the Interlocked Feedback Model. H Kurata T Tanaka F Ohnishi, PLoS ONE 2007 2 10 1103 10.1371/journal.pone.0001103 17971866
    • (2007) PLoS ONE , vol.2 , Issue.10 , pp. 51103
    • Kurata, H.1    Tanaka, T.2    Ohnishi, F.3
  • 19
    • 37349076540 scopus 로고    scopus 로고
    • Robustness analysis of EGFR signaling network with a multi-objective evolutionary algorithm
    • DOI 10.1016/j.biosystems.2007.10.001, PII S0303264707001475
    • Robustness Analysis of EGFR Signaling Network with a Multi-Objective Evolutionary Algorithm. X Zou M Liu Z Pan, BioSystems 2008 91 245 261 10.1016/j.biosystems.2007.10.001 18053637 (Pubitemid 350297575)
    • (2008) BioSystems , vol.91 , Issue.1 , pp. 245-261
    • Zou, X.1    Liu, M.2    Pan, Z.3
  • 20
    • 58549083142 scopus 로고    scopus 로고
    • Input-output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data
    • 19156131
    • Input-Output Behavior of ErbB Signaling Pathways as Revealed by a Mass Action Model Trained against Dynamic Data. WW Chen B Schoeberl PJ Jasper M Niepel, et al. Mol Syst Biol 2009 5 239 19156131
    • (2009) Mol Syst Biol , vol.5 , pp. 239
    • Chen, W.W.1    Schoeberl, B.2    Jasper, P.J.3    Niepel, M.4
  • 21
    • 77951121233 scopus 로고    scopus 로고
    • Geometry and topology of parameter space: Investigating measures of robustness in regulatory networks
    • 18987858
    • Geometry and Topology of Parameter Space: Investigating Measures of Robustness in Regulatory Networks. M Chaves A Sengupta ED Sontag, J Math Biol 2008 18987858
    • (2008) J Math Biol
    • Chaves, M.1    Sengupta, A.2    Sontag, E.D.3
  • 22
    • 59049098884 scopus 로고    scopus 로고
    • Shape, size and robustness: Feasible regions in the parameter space of biochemical networks
    • 10.1371/journal.pcbi.1000256. 19119410
    • Shape, Size and Robustness: Feasible Regions in the Parameter Space of Biochemical Networks. A Dayarian M Chaves ED Sontag AM Sengupta, PLoS Comput Biol 2009 5 1 1000256 10.1371/journal.pcbi.1000256 19119410
    • (2009) PLoS Comput Biol , vol.5 , Issue.1 , pp. 51000256
    • Dayarian, A.1    Chaves, M.2    Sontag, E.D.3    Sengupta, A.M.4
  • 23
    • 45449094504 scopus 로고    scopus 로고
    • A methodology for performing global uncertainty and sensitivity analysis in systems biology
    • 10.1016/j.jtbi.2008.04.011. 18572196
    • A Methodology for Performing Global Uncertainty and Sensitivity Analysis in Systems Biology. S Marino IB Hogue CJ Ray DE Kirschner, J Theor Biol 2008 254 178 196 10.1016/j.jtbi.2008.04.011 18572196
    • (2008) J Theor Biol , vol.254 , pp. 178-196
    • Marino, S.1    Hogue, I.B.2    Ray, C.J.3    Kirschner, D.E.4
  • 24
    • 33751101584 scopus 로고    scopus 로고
    • Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: A case study of an NF-κB signalling pathway
    • DOI 10.1039/b609442b
    • Insights into the Behavior of Systems Biology Models from dynamic Sensitivity and Identifiability Analysis: A Case Study of an NF-kB Signaling. H Yue M Brown J Knowles H Wang, et al. Molecular BioSystems 2006 640 640 649 10.1039/b609442b (Pubitemid 44772307)
    • (2006) Molecular BioSystems , vol.2 , Issue.12 , pp. 640-649
    • Yue, H.1    Brown, M.2    Knowles, J.3    Wang, H.4    Broomhead, D.S.5    Kell, D.B.6
  • 25
    • 1342265607 scopus 로고    scopus 로고
    • Experimental design in systems biology, based on parameter sensitivity analysis using a monte carlo method: A case study for the TNFalpha-mediated NF-kB signal transduction pathway
    • Experimental Design in Systems Biology, Based on Parameter Sensitivity Analysis Using a Monte Carlo Method: A Case Study for the TNFalpha-Mediated NF-kB Signal Transduction Pathway. KH Cho SY Shin W Kolch O Wolkenhauer, Simulation 2003 79 11-12 1 15
    • (2003) Simulation , vol.79 , Issue.11-12 , pp. 1-15
    • Cho, K.H.1    Shin, S.Y.2    Kolch, W.3    Wolkenhauer, O.4
  • 26
    • 33845410054 scopus 로고    scopus 로고
    • Dynamic modelling and analysis of biochemical networks: Mechanism-based models and model-based experiments
    • 10.1093/bib/bbl040. 17107967
    • Dynamic Modelling and Analysis of Biochemical Networks: Mechanism-based Models and Model-based Experiments. NAW Van Riel, Briefings in Bioinformatics 2006 7 4 364 374 10.1093/bib/bbl040 17107967
    • (2006) Briefings in Bioinformatics , vol.7 , Issue.4 , pp. 364-374
    • Van Riel, N.A.W.1
  • 27
    • 73449127673 scopus 로고    scopus 로고
    • Glocal robustness analysis and model discrimination for circadian oscillators
    • 10.1371/journal.pcbi.1000534. 19834597
    • Glocal Robustness Analysis and Model Discrimination for Circadian Oscillators. M Hafner H Koeppl M Hasler A Wagner, PLoS Comput Biol 2009 5 10 1000534 10.1371/journal.pcbi.1000534 19834597
    • (2009) PLoS Comput Biol , vol.5 , Issue.10 , pp. 51000534
    • Hafner, M.1    Koeppl, H.2    Hasler, M.3    Wagner, A.4
  • 28
    • 84887212461 scopus 로고    scopus 로고
    • Investigating differential dynamics of the MAPK signaling cascade using a multi-parametric global sensitivity analysis
    • 10.1371/journal.pone.0004560. 19234599
    • Investigating Differential Dynamics of the MAPK Signaling Cascade Using a Multi-Parametric Global Sensitivity analysis. J Yoon TS Deisboeck, PLoS ONE 2009 4 2 4560 10.1371/journal.pone.0004560 19234599
    • (2009) PLoS ONE , vol.4 , Issue.2 , pp. 54560
    • Yoon, J.1    Deisboeck, T.S.2
  • 29
    • 0038581537 scopus 로고    scopus 로고
    • A mechanistic study of evolvability using the mitogen-activated protein kinase cascade
    • DOI 10.1046/j.1525-142X.2003.03035.x
    • A Mechanistic Study of Evolvability Using the Mitogen-Activated Protein Kinase Cascade. HF Nijhout AM Berg WT Gibson, Evol Devel 2003 5 3 281 294 10.1046/j.1525-142X.2003.03035.x (Pubitemid 36684612)
    • (2003) Evolution and Development , vol.5 , Issue.3 , pp. 281-294
    • Nijhout, H.F.1    Berg, A.M.2    Gibson, W.T.3
  • 30
    • 33748557777 scopus 로고    scopus 로고
    • The statistical mechanics of complex signaling networks: Nerve growth factor signaling
    • DOI 10.1088/1478-3967/1/3/006, PII S1478396704827943, 006
    • The Statistical Mechanics of Complex Signaling Networks: Nerve Growth Factor Signaling. KS Brown CC Hill GA Calero CR Myers KH Lee, et al. Phys Biol 2004 1 184 195 10.1088/1478-3967/1/3/006 16204838 (Pubitemid 44362296)
    • (2004) Physical Biology , vol.1 , Issue.3 , pp. 184-195
    • Brown, K.S.1    Hill, C.C.2    Calero, G.A.3    Myers, C.R.4    Lee, K.H.5    Sethna, J.P.6    Cerione, R.A.7
  • 31
    • 34548442991 scopus 로고    scopus 로고
    • Coordinating TLR-activated signaling pathways in cells of the immune system
    • DOI 10.1038/sj.icb.7100098, PII 7100098
    • Coordinating TLR-Activated Signaling Pathways in Cells of the Immune System. A Banerjee S Gerondakis, Immunol Cell Biol 2007 85 420 424 10.1038/sj.icb.7100098 17637696 (Pubitemid 47367508)
    • (2007) Immunology and Cell Biology , vol.85 , Issue.6 , pp. 420-424
    • Banerjee, A.1    Gerondakis, S.2
  • 32
    • 43049179999 scopus 로고    scopus 로고
    • LPS/TLR4 signal transduction network
    • 10.1016/j.cyto.2008.01.006. 18304834
    • LPS/TLR4 signal Transduction Network. YC Lu WC Yeh PS Ohashi, Cytokine 2008 42 145 151 10.1016/j.cyto.2008.01.006 18304834
    • (2008) Cytokine , vol.42 , pp. 145-151
    • Lu, Y.C.1    Yeh, W.C.2    Ohashi, P.S.3
  • 34
    • 33745463739 scopus 로고    scopus 로고
    • A comprehensive map of the toll-like receptor signaling network
    • 2006.0015
    • A Comprehensive Map of the Toll-like Receptor Signaling Network. K Oda H Kitano, Mol Syst Biol 2006 2006.0015
    • (2006) Mol Syst Biol
    • Oda, K.1    Kitano, H.2
  • 35
    • 63649108380 scopus 로고    scopus 로고
    • The roles of TLRs, RLRs and NLRs in pathogen recognition
    • 10.1093/intimm/dxp017. 19246554
    • The Roles of TLRs, RLRs and NLRs in Pathogen Recognition. T Kaway S Akira, Int Immunol 2009 21 4 317 337 10.1093/intimm/dxp017 19246554
    • (2009) Int Immunol , vol.21 , Issue.4 , pp. 317-337
    • Kaway, T.1    Akira, S.2
  • 36
    • 33847183077 scopus 로고    scopus 로고
    • Cooperation of Toll-like receptor signals in innate immune defence
    • DOI 10.1038/nri2038, PII NRI2038
    • Cooperation of Toll-like Receptor Signals in Innate Immune Defence. G Trinchieri A Sher, Nat Rev Immunol 2007 7 3 179 190 10.1038/nri2038 17318230 (Pubitemid 46310482)
    • (2007) Nature Reviews Immunology , vol.7 , Issue.3 , pp. 179-190
    • Trinchieri, G.1    Sher, A.2
  • 37
    • 3142724031 scopus 로고    scopus 로고
    • Toll-like receptor signaling
    • 10.1038/nri1391. 15229469
    • Toll-like Receptor Signaling. A Shizuo K Takeda, Nat Rev Immunol 2004 4 7 499 511 10.1038/nri1391 15229469
    • (2004) Nat Rev Immunol , vol.4 , Issue.7 , pp. 499-511
    • Shizuo, A.1    Takeda, K.2
  • 38
    • 36048944020 scopus 로고    scopus 로고
    • Kinetic insulation as an effective mechanism for achieving pathway specificity in intracellular signaling networks
    • 10.1073/pnas.0703894104. 17913886
    • Kinetic Insulation as an Effective Mechanism for Achieving Pathway Specificity in Intracellular Signaling Networks. M Behar HG Dohlman TC Elston, PNAS 2007 104 41 16146 16151 10.1073/pnas.0703894104 17913886
    • (2007) PNAS , vol.104 , Issue.41 , pp. 16146-16151
    • Behar, M.1    Dohlman, H.G.2    Elston, T.C.3
  • 39
    • 39149098113 scopus 로고    scopus 로고
    • Receptor downregulation and desensitization enhance the information processing ability of signaling receptors
    • 10.1186/1752-0509-1-48. 17996096
    • Receptor Downregulation and Desensitization Enhance the Information Processing Ability of Signaling Receptors. H Shankaran HS Wiley H Resat, BMC Syst Biol 2007 1 48 10.1186/1752-0509-1-48 17996096
    • (2007) BMC Syst Biol , vol.1 , pp. 48
    • Shankaran, H.1    Wiley, H.S.2    Resat, H.3
  • 40
    • 34347355576 scopus 로고    scopus 로고
    • Cell surface receptors for signal transduction and ligand transport: A design principles study
    • 10.1371/journal.pcbi.0030101. 17542642
    • Cell Surface Receptors for Signal Transduction and Ligand Transport: A Design Principles Study. H Shankaran H Resat HS Wiley, PLoS Comput Biol 2007 3 6 101 10.1371/journal.pcbi.0030101 17542642
    • (2007) PLoS Comput Biol , vol.3 , Issue.6 , pp. 5101
    • Shankaran, H.1    Resat, H.2    Wiley, H.S.3
  • 41
    • 47949113424 scopus 로고    scopus 로고
    • Signals and systems: Towards a systems biology of signal transduction
    • 10.1109/JPROC.2008.925413
    • Signals and Systems: Towards a Systems Biology of Signal Transduction. J Gunawardena, Proceedings of the IEEE 2008 96 8 1386 1397 10.1109/JPROC.2008. 925413
    • (2008) Proceedings of the IEEE , vol.96 , Issue.8 , pp. 1386-1397
    • Gunawardena, J.1
  • 42
    • 33744809296 scopus 로고    scopus 로고
    • A global analysis of cross-talk in a mammalian cellular signalling network
    • DOI 10.1038/ncb1418, PII N1418
    • A Global Analysis of Cross-Talk in a Mammalian Cellular Signalling Network. M Natarajan KM Lin RC Hsueh PC Sternweis R Ranganathan, Nat Cell Biol 2006 8 6 571 580 10.1038/ncb1418 16699502 (Pubitemid 43827349)
    • (2006) Nature Cell Biology , vol.8 , Issue.6 , pp. 571-580
    • Natarajan, M.1    Lin, K.-M.2    Hsueh, R.C.3    Sternweis, P.C.4    Ranganathan, R.5
  • 43
    • 70350517075 scopus 로고    scopus 로고
    • Deciphering signaling outcomes from a system of complex networks
    • 10.1126/scisignal.2000054. 19454649
    • Deciphering Signaling Outcomes from a System of Complex Networks. RC Hsueh M Natarajan I Fraser B Pond J Liu S Mumby, et al. Science Signaling 2009 2 71 a22 10.1126/scisignal.2000054 19454649
    • (2009) Science Signaling , vol.2 , Issue.71
    • Hsueh, R.C.1    Natarajan, M.2    Fraser, I.3    Pond, B.4    Liu, J.5    Mumby, S.6
  • 44
    • 37249079144 scopus 로고    scopus 로고
    • Informatio-theoretic sensitivity analysis: A general method for credit assigment in complex networks
    • 10.1098/rsif.2007.1079. 17594961
    • Informatio-Theoretic Sensitivity Analysis: A General Method for Credit Assigment in Complex Networks. N Lüdtke S Panzeri M Brown DS Broomhead J Knowles MA Montemurro DB Kell, J R Soc Interface 2008 5 223 235 10.1098/rsif.2007.1079 17594961
    • (2008) J R Soc Interface , vol.5 , pp. 223-235
    • Lüdtke, N.1    Panzeri, S.2    Brown, M.3    Broomhead, D.S.4    Knowles, J.5    Montemurro, M.A.6    Kell, D.B.7
  • 45
    • 3142724031 scopus 로고    scopus 로고
    • Toll-like receptor signaling
    • 10.1038/nri1391. 15229469
    • Toll-like Receptor Signaling. S Akira K Takeda, Nat Rev Immunol 2004 4 499 511 10.1038/nri1391 15229469
    • (2004) Nat Rev Immunol , vol.4 , pp. 499-511
    • Akira, S.1    Takeda, K.2
  • 46
    • 32344431844 scopus 로고    scopus 로고
    • Discovering differential activation machinery of the toll-like receptor 4 signaling pathways in MYD88 knockouts
    • 10.1016/j.febslet.2006.01.046. 16458306
    • Discovering Differential Activation Machinery of the Toll-like Receptor 4 Signaling Pathways in MYD88 Knockouts. K Selvarajoo, FEBS Letters 2006 580 1457 1464 10.1016/j.febslet.2006.01.046 16458306
    • (2006) FEBS Letters , vol.580 , pp. 1457-1464
    • Selvarajoo, K.1
  • 47
    • 55349098506 scopus 로고    scopus 로고
    • Signaling flux redistribution at toll-like receptor pathway junctions
    • 10.1371/journal.pone.0003430. 18927610
    • Signaling Flux Redistribution at Toll-like Receptor Pathway Junctions. K Selvarajoo Y Takada J Gohda M Helmy, et al. PLoS ONE 2008 3 10 3430 10.1371/journal.pone.0003430 18927610
    • (2008) PLoS ONE , vol.3 , Issue.10 , pp. 53430
    • Selvarajoo, K.1    Takada, Y.2    Gohda, J.3    Helmy, M.4
  • 48
    • 57749186048 scopus 로고    scopus 로고
    • A Simple mathematical model of signaling resulting from the binding of lipopolysaccharide with toll-like receptor 4 demonstrates inherent precoditioning behavior
    • 10.1016/j.mbs.2008.10.002. 18950647
    • A Simple Mathematical Model of Signaling Resulting from the Binding of Lipopolysaccharide with Toll-like Receptor 4 Demonstrates Inherent Precoditioning Behavior. B Riviere Y Ephsteyn D Swigon Y Vodovotz, Mathematical Biosciences 2009 217 19 26 10.1016/j.mbs.2008.10.002 18950647
    • (2009) Mathematical Biosciences , vol.217 , pp. 19-26
    • Riviere, B.1    Ephsteyn, Y.2    Swigon, D.3    Vodovotz, Y.4
  • 49
    • 57849158644 scopus 로고    scopus 로고
    • Detailed qualitative dynamic knowledge representation using BioNetGen model of TLR-4 signaling and preconditioning
    • 10.1016/j.mbs.2008.08.013. 18835283
    • Detailed Qualitative Dynamic Knowledge Representation Using BioNetGen Model of TLR-4 Signaling and Preconditioning. GC An JR Faeder, Mathematical Biosciences 2009 217 53 63 10.1016/j.mbs.2008.08.013 18835283
    • (2009) Mathematical Biosciences , vol.217 , pp. 53-63
    • An, G.C.1    Faeder, J.R.2
  • 50
    • 62849118323 scopus 로고    scopus 로고
    • Autoregulatory feedback loops terminating the NF-B response
    • 10.1016/j.tibs.2008.12.003. 19233657
    • Autoregulatory Feedback Loops Terminating the NF-B Response. F Renner ML Schmitz, Trends in Biochemical Sciences 2009 34 3 128 135 10.1016/j.tibs.2008. 12.003 19233657
    • (2009) Trends in Biochemical Sciences , vol.34 , Issue.3 , pp. 128-135
    • Renner, F.1    Schmitz, M.L.2
  • 51
    • 24944586285 scopus 로고    scopus 로고
    • Achieving stability of lipopolysaccharide-induced NF-B activation
    • 10.1126/science.1112304. 16166516
    • Achieving Stability of Lipopolysaccharide-Induced NF-B Activation. MW Covert TH Leung JE Gaston D Baltimore, Science 2005 309 1854 1857 10.1126/science.1112304 16166516
    • (2005) Science , vol.309 , pp. 1854-1857
    • Covert, M.W.1    Leung, T.H.2    Gaston, J.E.3    Baltimore, D.4
  • 52
    • 4344706372 scopus 로고    scopus 로고
    • Functional plasticity of macrophages: Reversible adaptation to changing microenvironments
    • 10.1189/jlb.0504272. 15218057
    • Functional Plasticity of Macrophages: Reversible Adaptation to Changing Microenvironments. RD Stout J Suttles, J Leukoc Biol 2004 76 3 509 513 10.1189/jlb.0504272 15218057
    • (2004) J Leukoc Biol , vol.76 , Issue.3 , pp. 509-513
    • Stout, R.D.1    Suttles, J.2
  • 53
    • 13844296861 scopus 로고    scopus 로고
    • In silico identification of the key components and steps in IFN- induced Jak-stat signaling pathway
    • 10.1016/j.febslet.2005.01.009. 15710397
    • In silico Identification of the key Components and Steps in IFN- Induced JAK-STAT Signaling Pathway. Z Zi HC Cho MH Sung X Xia, et al. FEBS Letters 2005 579 1101 1108 10.1016/j.febslet.2005.01.009 15710397
    • (2005) FEBS Letters , vol.579 , pp. 1101-1108
    • Zi, Z.1    Cho, H.C.2    Sung, M.H.3    Xia, X.4
  • 54
    • 35348829847 scopus 로고    scopus 로고
    • Global sensitivity analysis of cell signaling transduction networks based on latin hypercube sampling method
    • full-text
    • Global Sensitivity Analysis of Cell Signaling Transduction Networks Based on Latin Hypercube Sampling Method. J Jia H Yue T Liu H Wang, Bioinformatics and Biomedical Engineering, IEEE Xplore 2007 434 437 full-text
    • (2007) Bioinformatics and Biomedical Engineering, IEEE Xplore , pp. 434-437
    • Jia, J.1    Yue, H.2    Liu, T.3    Wang, H.4
  • 55
    • 65249103982 scopus 로고    scopus 로고
    • Positive- and negative-feedback regulations coordinate the dynamic behavior of the Ras-Raf-MEK-ERK signal transduction pathway
    • 10.1242/jcs.036319. 19158341
    • Positive- and Negative-Feedback Regulations Coordinate the Dynamic Behavior of the Ras-Raf-MEK-ERK Signal Transduction Pathway. SY Shin O Rath SM Choo F Fee, et al. J Cell Sci 2009 122 425 435 10.1242/jcs.036319 19158341
    • (2009) J Cell Sci , vol.122 , pp. 425-435
    • Shin, S.Y.1    Rath, O.2    Choo, S.M.3    Fee, F.4
  • 56
    • 66249096743 scopus 로고    scopus 로고
    • Predicting phenotypic diversity and the underlying quantitative molecular transitions
    • 10.1371/journal.pcbi.1000354. 19360093
    • Predicting Phenotypic Diversity and the Underlying Quantitative Molecular Transitions. CA Giurumescu PW Sternberg AR Asthagiri, PLoS Comput Biol 2009 5 4 1000354 10.1371/journal.pcbi.1000354 19360093
    • (2009) PLoS Comput Biol , vol.5 , Issue.4 , pp. 51000354
    • Giurumescu, C.A.1    Sternberg, P.W.2    Asthagiri, A.R.3
  • 57
    • 24944489952 scopus 로고    scopus 로고
    • Stimulus specificity of gene expression programs determined by temporal control of IKK activity
    • 10.1126/science.1113319. 16166517
    • Stimulus Specificity of Gene Expression Programs Determined by Temporal Control of IKK Activity. LW Shannon D Barken A Hoffmann, Science 2005 309 1857 1861 10.1126/science.1113319 16166517
    • (2005) Science , vol.309 , pp. 1857-1861
    • Shannon, L.W.1    Barken, D.2    Hoffmann, A.3
  • 58
    • 33644524741 scopus 로고    scopus 로고
    • Cell-signaling dynamics in time and space
    • 10.1038/nrm1838
    • Cell-Signaling Dynamics in Time and Space. BN Kholodenko, Nat Rev Mol Cell Biology 2006 7 165 176 10.1038/nrm1838
    • (2006) Nat Rev Mol Cell Biology , vol.7 , pp. 165-176
    • Kholodenko, B.N.1
  • 59
    • 27144450537 scopus 로고    scopus 로고
    • Systems biology. Less is more in modeling large genetic networks
    • 10.1126/science.1119959. 16239464
    • Systems Biology. Less is More in Modeling Large Genetic Networks. S Bornholdt, Science 2005 310 5747 449 451 10.1126/science.1119959 16239464
    • (2005) Science , vol.310 , Issue.5747 , pp. 449-451
    • Bornholdt, S.1
  • 60
    • 65449121432 scopus 로고    scopus 로고
    • Can complex cellular processes be governed by simple linear rules?
    • 10.1142/S0219720009003947
    • Can Complex Cellular Processes be Governed by Simple Linear Rules? K Selvarajoo M Tomita M Tsuchiya, J Bioinf Comput Biol 2009 7 1 243 268 10.1142/S0219720009003947
    • (2009) J Bioinf Comput Biol , vol.7 , Issue.1 , pp. 243-268
    • Selvarajoo, K.1    Tomita, M.2    Tsuchiya, M.3
  • 61
    • 0019392712 scopus 로고    scopus 로고
    • An approach to the preliminary analysis of environmental systems
    • An Approach to the Preliminary Analysis of Environmental Systems. G Hornberger R Spear, J Environ Manage 2005 12 7 18
    • (2005) J Environ Manage , vol.12 , pp. 7-18
    • Hornberger, G.1    Spear, R.2
  • 62
    • 0026490914 scopus 로고
    • Systematic parameter estimation of wathershed acidification model
    • 10.1002/hyp.3360060104
    • Systematic Parameter Estimation of Wathershed Acidification Model. FJ Chang JW Delleur, Hydrol Processes 1992 6 29 44 10.1002/hyp.3360060104
    • (1992) Hydrol Processes , vol.6 , pp. 29-44
    • Chang, F.J.1    Delleur, J.W.2
  • 63
    • 0032144661 scopus 로고    scopus 로고
    • 2Degassing and pH in a stream-aquifer system
    • 10.1016/S0022-1694(98)00093-6
    • 2Degassing and pH in a Stream-Aquifer System. J Choi SM Hulseapple MH Conklin JW Harvery, J Hydrol 1998 209 297 310 10.1016/S0022-1694(98)00093-6
    • (1998) J Hydrol , vol.209 , pp. 297-310
    • Choi, J.1    Hulseapple, S.M.2    Conklin, M.H.3    Harvery, J.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.