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Volumn 13, Issue 3, 2010, Pages 377-381

Boolean models of within-host immune interactions

Author keywords

[No Author keywords available]

Indexed keywords

CYTOKINE; EPIDERMAL GROWTH FACTOR;

EID: 77952888422     PISSN: 13695274     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mib.2010.04.003     Document Type: Review
Times cited : (26)

References (27)
  • 1
    • 35349016235 scopus 로고    scopus 로고
    • Recognition of microorganisms and activation of the immune response
    • Medzhitov R. Recognition of microorganisms and activation of the immune response. Nature 449 (2007) 819-826
    • (2007) Nature , vol.449 , pp. 819-826
    • Medzhitov, R.1
  • 2
    • 43249090953 scopus 로고    scopus 로고
    • The dynamics of acute malaria infections. I. Effect of the parasite's red blood cell preference
    • Antia R., Yates A., and de Roode J.C. The dynamics of acute malaria infections. I. Effect of the parasite's red blood cell preference. Proc Biol Sci 275 (2008) 1449-1458
    • (2008) Proc Biol Sci , vol.275 , pp. 1449-1458
    • Antia, R.1    Yates, A.2    de Roode, J.C.3
  • 4
    • 33846798392 scopus 로고    scopus 로고
    • Estimation of the rate of killing by cytotoxic T lymphocytes in vivo
    • Regoes R.R., Barber D.L., Ahmed R., and Antia R. Estimation of the rate of killing by cytotoxic T lymphocytes in vivo. Proc Natl Acad Sci USA 104 (2007) 1599-1603
    • (2007) Proc Natl Acad Sci USA , vol.104 , pp. 1599-1603
    • Regoes, R.R.1    Barber, D.L.2    Ahmed, R.3    Antia, R.4
  • 5
    • 60349111630 scopus 로고    scopus 로고
    • Dynamic pathway modeling of signal transduction networks: a domain-oriented approach
    • Conzelmann H., and Gilles E.D. Dynamic pathway modeling of signal transduction networks: a domain-oriented approach. Methods Mol Biol 484 (2008) 559-578
    • (2008) Methods Mol Biol , vol.484 , pp. 559-578
    • Conzelmann, H.1    Gilles, E.D.2
  • 6
    • 33947628597 scopus 로고    scopus 로고
    • Systems-level insights into cellular regulation: inferring, analysing, and modelling intracellular networks
    • Christensen C., Thakar J., and Albert R. Systems-level insights into cellular regulation: inferring, analysing, and modelling intracellular networks. IET Syst Biol 1 (2007) 61-77
    • (2007) IET Syst Biol , vol.1 , pp. 61-77
    • Christensen, C.1    Thakar, J.2    Albert, R.3
  • 7
    • 0345598902 scopus 로고    scopus 로고
    • Random Boolean network models and the yeast transcriptional network
    • Kauffman S., Peterson C., Samuelsson B., and Troein C. Random Boolean network models and the yeast transcriptional network. Proc Natl Acad Sci USA 100 (2003) 14796-14799
    • (2003) Proc Natl Acad Sci USA , vol.100 , pp. 14796-14799
    • Kauffman, S.1    Peterson, C.2    Samuelsson, B.3    Troein, C.4
  • 8
    • 40149109180 scopus 로고    scopus 로고
    • Host-pathogen systems biology: logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction
    • Franke R., Muller M., Wundrack N., Gilles E.D., Klamt S., Kahne T., and Naumann M. Host-pathogen systems biology: logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction. BMC Syst Biol 2 (2008) 4
    • (2008) BMC Syst Biol , vol.2 , pp. 4
    • Franke, R.1    Muller, M.2    Wundrack, N.3    Gilles, E.D.4    Klamt, S.5    Kahne, T.6    Naumann, M.7
  • 10
    • 67650508735 scopus 로고    scopus 로고
    • Constraint based network model of pathogen-immune system interactions
    • This article demonstrates the success of hybrid Boolean modeling at the inter-cellular level.
    • Thakar J., Saadatpour A., Harvill E.T., and Albert R. Constraint based network model of pathogen-immune system interactions. J R Soc Interface 6 (2009) 599-612. This article demonstrates the success of hybrid Boolean modeling at the inter-cellular level.
    • (2009) J R Soc Interface , vol.6 , pp. 599-612
    • Thakar, J.1    Saadatpour, A.2    Harvill, E.T.3    Albert, R.4
  • 11
    • 55849100058 scopus 로고    scopus 로고
    • Network model of survival signaling in large granular lymphocyte leukemia
    • The Boolean model developed in this article predicts the minimal cause and several therapeutic targets for of T-LGL leukemia.
    • Zhang R., Shah M.V., Yang J., Nyland S.B., Liu X., Yun J.K., Albert R., and Loughran Jr. T.P. Network model of survival signaling in large granular lymphocyte leukemia. Proc Natl Acad Sci USA 105 (2008) 16308-16313. The Boolean model developed in this article predicts the minimal cause and several therapeutic targets for of T-LGL leukemia.
    • (2008) Proc Natl Acad Sci USA , vol.105 , pp. 16308-16313
    • Zhang, R.1    Shah, M.V.2    Yang, J.3    Nyland, S.B.4    Liu, X.5    Yun, J.K.6    Albert, R.7    Loughran Jr., T.P.8
  • 12
    • 68749099453 scopus 로고    scopus 로고
    • Pathway databases and tools for their exploitation: benefits, current limitations and challenges
    • Bauer-Mehren A., Furlong L.I., and Sanz F. Pathway databases and tools for their exploitation: benefits, current limitations and challenges. Mol Syst Biol 5 (2009) 290
    • (2009) Mol Syst Biol , vol.5 , pp. 290
    • Bauer-Mehren, A.1    Furlong, L.I.2    Sanz, F.3
  • 13
    • 18844380444 scopus 로고    scopus 로고
    • Robustness and fragility of Boolean models for genetic regulatory networks
    • Chaves M., Albert R., and Sontag E.D. Robustness and fragility of Boolean models for genetic regulatory networks. J Theor Biol 235 (2005) 431-449
    • (2005) J Theor Biol , vol.235 , pp. 431-449
    • Chaves, M.1    Albert, R.2    Sontag, E.D.3
  • 14
    • 16644389406 scopus 로고    scopus 로고
    • A gene regulatory network model for cell-fate determination during Arabidopsis thaliana flower development that is robust and recovers experimental gene expression profiles
    • Espinosa-Soto C., Padilla-Longoria P., and Alvarez-Buylla E.R. A gene regulatory network model for cell-fate determination during Arabidopsis thaliana flower development that is robust and recovers experimental gene expression profiles. Plant Cell 16 (2004) 2923-2939
    • (2004) Plant Cell , vol.16 , pp. 2923-2939
    • Espinosa-Soto, C.1    Padilla-Longoria, P.2    Alvarez-Buylla, E.R.3
  • 15
    • 0035928464 scopus 로고    scopus 로고
    • A logical analysis of the Drosophila gap-gene system
    • Sanchez L., and Thieffry D. A logical analysis of the Drosophila gap-gene system. J Theor Biol 211 (2001) 115-141
    • (2001) J Theor Biol , vol.211 , pp. 115-141
    • Sanchez, L.1    Thieffry, D.2
  • 16
    • 0041381349 scopus 로고    scopus 로고
    • Segmenting the fly embryo: a logical analysis of the pair-rule cross-regulatory module
    • Sanchez L., and Thieffry D. Segmenting the fly embryo: a logical analysis of the pair-rule cross-regulatory module. J Theor Biol 224 (2003) 517-537
    • (2003) J Theor Biol , vol.224 , pp. 517-537
    • Sanchez, L.1    Thieffry, D.2
  • 17
    • 0030142764 scopus 로고    scopus 로고
    • Fuzzy logic=computing with words
    • Zadeh H. Fuzzy logic=computing with words. IEEE Trans Fuzzy Syst 4 (1996) 103-111
    • (1996) IEEE Trans Fuzzy Syst , vol.4 , pp. 103-111
    • Zadeh, H.1
  • 18
    • 0034715919 scopus 로고    scopus 로고
    • Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks
    • Huang S., and Ingber D.E. Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks. Exp Cell Res 261 (2000) 91-103
    • (2000) Exp Cell Res , vol.261 , pp. 91-103
    • Huang, S.1    Ingber, D.E.2
  • 19
    • 26444561930 scopus 로고    scopus 로고
    • Eukaryotic cells are dynamically ordered or critical but not chaotic
    • Shmulevich I., Kauffman S.A., and Aldana M. Eukaryotic cells are dynamically ordered or critical but not chaotic. Proc Natl Acad Sci USA 102 (2005) 13439-13444
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 13439-13444
    • Shmulevich, I.1    Kauffman, S.A.2    Aldana, M.3
  • 20
    • 29444440886 scopus 로고    scopus 로고
    • Topology of biological networks and reliability of information processing
    • Klemm K., and Bornholdt S. Topology of biological networks and reliability of information processing. Proc Natl Acad Sci USA 102 (2005) 18414-18419
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 18414-18419
    • Klemm, K.1    Bornholdt, S.2
  • 21
    • 70449413629 scopus 로고    scopus 로고
    • The crosstalk between EGF, IGF, and insulin cell signaling pathways-computational and experimental analysis
    • Zielinski R., Przytycki P.F., Zheng J., Zhang D., Przytycka T.M., and Capala J. The crosstalk between EGF, IGF, and insulin cell signaling pathways-computational and experimental analysis. BMC Syst Biol 3 (2009) 88
    • (2009) BMC Syst Biol , vol.3 , pp. 88
    • Zielinski, R.1    Przytycki, P.F.2    Zheng, J.3    Zhang, D.4    Przytycka, T.M.5    Capala, J.6
  • 22
    • 65349179556 scopus 로고    scopus 로고
    • Fuzzy logic analysis of kinase pathway crosstalk in TNF/EGF/insulin-induced signaling
    • This article applies a fuzzy logic framework and uncovers novel signaling crosstalk and regulation.
    • Aldridge B.B., Saez-Rodriguez J., Muhlich J.L., Sorger P.K., and Lauffenburger D.A. Fuzzy logic analysis of kinase pathway crosstalk in TNF/EGF/insulin-induced signaling. PLoS Comput Biol 5 (2009) e1000340. This article applies a fuzzy logic framework and uncovers novel signaling crosstalk and regulation.
    • (2009) PLoS Comput Biol , vol.5
    • Aldridge, B.B.1    Saez-Rodriguez, J.2    Muhlich, J.L.3    Sorger, P.K.4    Lauffenburger, D.A.5
  • 24
    • 0015609281 scopus 로고
    • The logical analysis of continuous, non-linear biochemical control networks
    • Glass L., and Kauffman S.A. The logical analysis of continuous, non-linear biochemical control networks. J Theor Biol 39 (1973) 103-129
    • (1973) J Theor Biol , vol.39 , pp. 103-129
    • Glass, L.1    Kauffman, S.A.2
  • 25
    • 33646346114 scopus 로고    scopus 로고
    • A method for the generation of standardized qualitative dynamical systems of regulatory networks
    • Mendoza L., and Xenarios I. A method for the generation of standardized qualitative dynamical systems of regulatory networks. Theor Biol Med Model 3 (2006) 13
    • (2006) Theor Biol Med Model , vol.3 , pp. 13
    • Mendoza, L.1    Xenarios, I.2
  • 26
    • 70449481350 scopus 로고    scopus 로고
    • Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
    • This paper develops an interpolation based hybrid Boolean model and applies is to T cell receptor signaling.
    • Wittmann D.M., Krumsiek J., Saez-Rodriguez J., Lauffenburger D.A., Klamt S., and Theis F.J. Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling. BMC Syst Biol 3 (2009) 98. This paper develops an interpolation based hybrid Boolean model and applies is to T cell receptor signaling.
    • (2009) BMC Syst Biol , vol.3 , pp. 98
    • Wittmann, D.M.1    Krumsiek, J.2    Saez-Rodriguez, J.3    Lauffenburger, D.A.4    Klamt, S.5    Theis, F.J.6
  • 27
    • 58049164511 scopus 로고    scopus 로고
    • Boolean network simulations for life scientists
    • This article describes an easy to use software for Boolean modeling.
    • Albert I., Thakar J., Li S., Zhang R., and Albert R. Boolean network simulations for life scientists. Source Code Biol Med 3 (2008) 16. This article describes an easy to use software for Boolean modeling.
    • (2008) Source Code Biol Med , vol.3 , pp. 16
    • Albert, I.1    Thakar, J.2    Li, S.3    Zhang, R.4    Albert, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.