메뉴 건너뛰기




Volumn 7, Issue 8, 2012, Pages 667-677

Modular pharmacology: The next paradigm in drug discovery

Author keywords

Modular pharmacology; Module; Module array; Network pharmacology

Indexed keywords

IMMUNOGLOBULIN ENHANCER BINDING PROTEIN;

EID: 84864357761     PISSN: 17460441     EISSN: 1746045X     Source Type: Journal    
DOI: 10.1517/17460441.2012.692673     Document Type: Review
Times cited : (57)

References (102)
  • 1
    • 77950650137 scopus 로고    scopus 로고
    • Biology-driven cancer drug development: Back to the future
    • Lord CJ, Ashworth A. Biology-driven cancer drug development: Back to the future. BMC Biol 2010;8:38
    • (2010) BMC Biol. , vol.8 , pp. 38
    • Lord, C.J.1    Ashworth, A.2
  • 2
    • 77957364747 scopus 로고    scopus 로고
    • Translating cancer research into targeted therapeutics
    • De Bono JS, Ashworth A. Translating cancer research into targeted therapeutics. Nature 2010;467:543-9
    • (2010) Nature , vol.467 , pp. 543-549
    • De Bono, J.S.1    Ashworth, A.2
  • 4
    • 15044349115 scopus 로고    scopus 로고
    • The efficiency of multi-target drugs: The network approach might help drug design
    • DOI 10.1016/j.tips.2005.02.007
    • Csermely P, Ágoston V, Pongor S. The efficiency of multi-target drugs: The network approach might help drug design. TRENDS Pharmacol Sci 2005;26:178-82 (Pubitemid 40432652)
    • (2005) Trends in Pharmacological Sciences , vol.26 , Issue.4 , pp. 178-182
    • Csermely, P.1    Agoston, V.2    Pongor, S.3
  • 5
    • 70349334010 scopus 로고    scopus 로고
    • Myopathy with statin-fibrate combination therapy: Clinical considerations
    • Jacobson TA. Myopathy with statin-fibrate combination therapy: Clinical considerations. Nat Rev Endocrinol 2009;5:507-18
    • (2009) Nat. Rev. Endocrinol. , vol.5 , pp. 507-518
    • Jacobson, T.A.1
  • 6
    • 67449085086 scopus 로고    scopus 로고
    • Quinine monotherapy for treating uncomplicated malaria in the era of artemisinin-based combination therapy: An appropriate public health policy
    • Yeka A, Achan J, D'Alessandro U, et al. Quinine monotherapy for treating uncomplicated malaria in the era of artemisinin-based combination therapy: An appropriate public health policy? Lancet Infect Dis 2009;9:448-52
    • (2009) Lancet Infect. Dis. , vol.9 , pp. 448-452
    • Yeka, A.1    Achan, J.2    D'Alessandro, U.3
  • 7
    • 76449110495 scopus 로고    scopus 로고
    • Combination therapy in multiple sclerosis
    • Conway D, Cohen JA. Combination therapy in multiple sclerosis. Lancet Neurol 2010;9:299-308
    • (2010) Lancet Neurol. , vol.9 , pp. 299-308
    • Conway, D.1    Cohen, J.A.2
  • 8
  • 9
    • 33747620519 scopus 로고    scopus 로고
    • Systems biology and combination therapy in the quest for clinical efficacy
    • DOI 10.1038/nchembio817, PII NCHEMBIO817
    • Fitzgerald JB, Schoeberl B, Nielsen UB, et al. Systems biology and combination therapy in the quest for clinical efficacy. Nat Chem Biol 2006;2:458-66 (Pubitemid 44266307)
    • (2006) Nature Chemical Biology , vol.2 , Issue.9 , pp. 458-466
    • Fitzgerald, J.B.1    Schoeberl, B.2    Nielsen, U.B.3    Sorger, P.K.4
  • 10
    • 79959844663 scopus 로고    scopus 로고
    • The emergence of modularity in biological systems
    • Lorenz DM, Jeng A, Deem MW. The emergence of modularity in biological systems. Phys Life Rev 2011;8:129-60
    • (2011) Phys. Life Rev. , vol.8 , pp. 129-160
    • Lorenz, D.M.1    Jeng, A.2    Deem, M.W.3
  • 11
    • 33747882887 scopus 로고    scopus 로고
    • A cascade of modules of a network defines cancer progression
    • DOI 10.1158/0008-5472.CAN-06-0993
    • Thiagalingam S. A cascade of modules of a network defines cancer progression. Cancer Res 2006;66:7379-85 (Pubitemid 44289187)
    • (2006) Cancer Research , vol.66 , Issue.15 , pp. 7379-7385
    • Thiagalingam, S.1
  • 12
    • 77949446630 scopus 로고    scopus 로고
    • Automated network analysis identifies core pathways in glioblastoma
    • Cerami E, Demir E, Schultz N, et al. Automated network analysis identifies core pathways in glioblastoma. PLoS One 2010;5:e8918
    • (2010) Plos One , vol.5
    • Cerami, E.1    Demir, E.2    Schultz, N.3
  • 13
    • 6944244084 scopus 로고    scopus 로고
    • A module map showing conditional activity of expression modules in cancer
    • DOI 10.1038/ng1434
    • Segal E, Friedman N, Koller D, et al. A module map showing conditional activity of expression modules in cancer. Nat Genet 2004;36:1090-8 (Pubitemid 41184471)
    • (2004) Nature Genetics , vol.36 , Issue.10 , pp. 1090-1098
    • Segal, E.1    Friedman, N.2    Koller, D.3    Regev, A.4
  • 14
    • 0033518234 scopus 로고    scopus 로고
    • From molecular to modular cell biology
    • Suppl
    • Hartwell LH, Hopfield JJ, Leibler S, et al. From molecular to modular cell biology. Nature 1999;402(6761 Suppl):C47-52
    • (1999) Nature , vol.402 , Issue.6761
    • Hartwell, L.H.1    Hopfield, J.J.2    Leibler, S.3
  • 15
    • 43449088832 scopus 로고    scopus 로고
    • A modular approach for integrative analysis of large-scale gene-expression and drug-response data
    • DOI 10.1038/nbt1397, PII NBT1397
    • Kutalik Z, Beckmann JS, Bergmann S. A modular approach for integrative analysis of large-scale gene-expression and drug-response data. Nat Biotechnol 2008;26:531-9 (Pubitemid 351668039)
    • (2008) Nature Biotechnology , vol.26 , Issue.5 , pp. 531-539
    • Kutalik, Z.1    Beckmann, J.S.2    Bergmann, S.3
  • 16
    • 79961020791 scopus 로고    scopus 로고
    • Modular mechanism of Wnt signaling inhibition by Wnt inhibitory factor 1
    • Malinauskas T, Aricescu AR, Lu W, et al. Modular mechanism of Wnt signaling inhibition by Wnt inhibitory factor 1. Nat Struct Mol Biol 2011;18:886-93
    • (2011) Nat. Struct. Mol. Biol. , vol.18 , pp. 886-893
    • Malinauskas, T.1    Aricescu, A.R.2    Lu, W.3
  • 18
    • 10044280457 scopus 로고    scopus 로고
    • Learning module networks from genome-wide location and expression data
    • DOI 10.1016/j.febslet.2004.11.019, PII S0014579304013833
    • Xu X, Wang L, Ding D. Learning module networks from genome-wide location and expression data. FEBS Lett 2004;578:297-304 (Pubitemid 39601797)
    • (2004) FEBS Letters , vol.578 , Issue.3 , pp. 297-304
    • Xu, X.1    Wang, L.2    Ding, D.3
  • 19
    • 0037941585 scopus 로고    scopus 로고
    • Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data
    • DOI 10.1038/ng1165
    • Segal E, Shapira M, Regev A, et al. Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data. Nat Genet 2003;34:166-76 (Pubitemid 36666927)
    • (2003) Nature Genetics , vol.34 , Issue.2 , pp. 166-176
    • Segal, E.1    Shapira, M.2    Regev, A.3    Pe'er, D.4    Botstein, D.5    Koller, D.6    Friedman, N.7
  • 20
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Fortunato S. Community detection in graphs. Phys Rep 2010;486:75-174
    • (2010) Phys. Rep. , vol.486 , pp. 75-174
    • Fortunato, S.1
  • 21
    • 70349331032 scopus 로고    scopus 로고
    • Identifying responsive functional modules from protein-protein interaction network
    • Wu Z, Zhao X, Chen L. Identifying responsive functional modules from protein-protein interaction network. Mol Cells 2009;27:271-7
    • (2009) Mol. Cells , vol.27 , pp. 271-277
    • Wu, Z.1    Zhao, X.2    Chen, L.3
  • 22
    • 34247464637 scopus 로고    scopus 로고
    • Revealing static and dynamic modular architecture of the eukaryotic protein interaction network
    • Komurov K, White M. Revealing static and dynamic modular architecture of the eukaryotic protein interaction network. Mol Syst Biol 2007;3:110
    • (2007) Mol. Syst. Biol. , vol.3 , pp. 110
    • Komurov, K.1    White, M.2
  • 24
    • 0029143526 scopus 로고
    • Complexity, contingency, and criticality
    • Bak P, Paczuski M. Complexity, contingency, and criticality. Proc Natl Acad Sci USA 1995;92:6689-96
    • (1995) Proc. Natl. Acad. Sci. USA , vol.92 , pp. 6689-6696
    • Bak, P.1    Paczuski, M.2
  • 25
    • 34447342269 scopus 로고    scopus 로고
    • The impact of function perturbations in Boolean networks
    • DOI 10.1093/bioinformatics/btm093
    • Xiao Y, Dougherty ER. The impact of function perturbations in Boolean networks. Bioinformatics 2007;23:1265-73 (Pubitemid 47050543)
    • (2007) Bioinformatics , vol.23 , Issue.10 , pp. 1265-1273
    • Xiao, Y.1    Dougherty, E.R.2
  • 27
    • 71849090030 scopus 로고    scopus 로고
    • Neuronal avalanches imply maximum dynamic range in cortical networks at criticality
    • Shew WL, Yang H, Petermann T, et al. Neuronal avalanches imply maximum dynamic range in cortical networks at criticality. J Neurosci 2009;29:15595-600
    • (2009) J. Neurosci. , vol.29 , pp. 15595-15600
    • Shew, W.L.1    Yang, H.2    Petermann, T.3
  • 28
    • 43949083698 scopus 로고    scopus 로고
    • Self-organization and neuronal avalanches in networks of dissociated cortical neurons
    • Pasquale V, Massobrio P, Bologna LL, et al. Self-organization and neuronal avalanches in networks of dissociated cortical neurons. Neuroscience 2008;153:1354-69
    • (2008) Neuroscience , vol.153 , pp. 1354-1369
    • Pasquale, V.1    Massobrio, P.2    Bologna, L.L.3
  • 29
    • 30344473639 scopus 로고    scopus 로고
    • Systematic intervention of transcription for identifying network response to disease and cellular phenotypes
    • DOI 10.1093/bioinformatics/bti752
    • Li H, Zhan M. Systematic intervention of transcription for identifying network response to disease and cellular phenotypes. Bioinformatics 2006;22:96-102 (Pubitemid 43057013)
    • (2006) Bioinformatics , vol.22 , Issue.1 , pp. 96-102
    • Li, H.1    Zhan, M.2
  • 30
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: Graph theoretical analysis of structural and functional systems
    • Bullmore E, Sporns O. Complex brain networks: Graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009;10:186-98
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 31
    • 20644464974 scopus 로고    scopus 로고
    • Mapping molecular networks using proteomics: A vision for patient-tailored combination therapy
    • Petricoin EF, Bichsel VE, Calvert VS, et al. Mapping molecular networks using proteomics: A vision for patient-tailored combination therapy. J Clin Oncol 2005;23:3614-21
    • (2005) J. Clin. Oncol. , vol.23 , pp. 3614-3621
    • Petricoin, E.F.1    Bichsel, V.E.2    Calvert, V.S.3
  • 32
    • 41349112310 scopus 로고    scopus 로고
    • Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics
    • Kwon YK, Cho KH. Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics. Bioinformatics 2008;24:987-94
    • (2008) Bioinformatics , vol.24 , pp. 987-994
    • Kwon, Y.K.1    Cho, K.H.2
  • 33
    • 33845762340 scopus 로고    scopus 로고
    • Multi-target therapeutics: When the whole is greater than the sum of the parts
    • DOI 10.1016/j.drudis.2006.11.008, PII S1359644606004697
    • Zimmermann GR, Lehar J, Keith CT. Multi-target therapeutics: When the whole is greater than the sum of the parts. Drug Discov Today 2007;12(1-2):34-42 (Pubitemid 46014485)
    • (2007) Drug Discovery Today , vol.12 , Issue.1-2 , pp. 34-42
    • Zimmermann, G.R.1    Lehar, J.2    Keith, C.T.3
  • 34
    • 25144466066 scopus 로고    scopus 로고
    • A criticality-based framework for task composition in multi-agent bioinformatics integration systems
    • DOI 10.1093/bioinformatics/bti491
    • Karasavvas KA, Baldock R, Burger A. A criticality-based framework for task composition in multi-agent bioinformatics integration systems. Bioinformatics 2005;21:3155-63 (Pubitemid 41418469)
    • (2005) Bioinformatics , vol.21 , Issue.14 , pp. 3155-3163
    • Karasavvas, K.A.1    Baldock, R.2    Burger, A.3
  • 36
    • 77954535843 scopus 로고    scopus 로고
    • Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity
    • Chibon F, Lagarde P, Salas S, et al. Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity. Nat Med 2010;16:781-7
    • (2010) Nat. Med. , vol.16 , pp. 781-787
    • Chibon, F.1    Lagarde, P.2    Salas, S.3
  • 37
    • 49449101097 scopus 로고    scopus 로고
    • High-order combination effects and biological robustness
    • Lehar J, Krueger A, Zimmermann G, et al. High-order combination effects and biological robustness. Mol Syst Biol 2008;4:215
    • (2008) Mol. Syst. Biol. , vol.4 , pp. 215
    • Lehar, J.1    Krueger, A.2    Zimmermann, G.3
  • 38
    • 78650631094 scopus 로고    scopus 로고
    • Cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action
    • Kapitzky L, Beltrao P, Berens TJ, et al. Cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action. Mol Syst Biol 2010;6:451
    • (2010) Mol. Syst. Biol. , vol.6 , pp. 451
    • Kapitzky, L.1    Beltrao, P.2    Berens, T.J.3
  • 39
    • 0036789922 scopus 로고    scopus 로고
    • Untangling the wires: A strategy to trace functional interactions in signaling and gene networks
    • Kholodenko BN, Kiyatkin A, Bruggeman FJ, et al. Untangling the wires: A strategy to trace functional interactions in signaling and gene networks. Proc Natl Acad Sci USA 2002;99:12841-6
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 12841-6
    • Kholodenko, B.N.1    Kiyatkin, A.2    Bruggeman, F.J.3
  • 40
    • 77953839617 scopus 로고    scopus 로고
    • Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species
    • Ra20
    • Xu TR, Vyshemirsky V, Gormand A, et al. Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species. Sci Signal 2010;3(134):ra20
    • (2010) Sci. Signal , vol.3 , pp. 134
    • Xu, T.R.1    Vyshemirsky, V.2    Gormand, A.3
  • 41
    • 81055146937 scopus 로고    scopus 로고
    • Identifying and characterizing nodes important to community structure using the spectrum of the graph
    • Wang Y, Di Z, Fan Y. Identifying and characterizing nodes important to community structure using the spectrum of the graph. PLoS One 2011;6:e27418
    • (2011) Plos One , vol.6
    • Wang, Y.1    Di, Z.2    Fan, Y.3
  • 42
    • 70349636598 scopus 로고    scopus 로고
    • Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns
    • Kaleta C, De Figueiredo LF, Schuster S. Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns. Genome Res 2009;19:1872-83
    • (2009) Genome. Res. , vol.19 , pp. 1872-1883
    • Kaleta, C.1    De Figueiredo, L.F.2    Schuster, S.3
  • 43
    • 37649013307 scopus 로고    scopus 로고
    • Subnetwork analysis reveals dynamic features of complex (bio) chemical networks
    • Conradi C, Flockerzi D, Raisch J, Stelling J. Subnetwork analysis reveals dynamic features of complex (bio) chemical networks. Proc Natl Acad Sci USA 2007;104:19175-80
    • (2007) Proc. Natl. Acad. Sci. USA , vol.104 , pp. 19175-80
    • Conradi, C.1    Flockerzi, D.2    Raisch, J.3    Stelling, J.4
  • 45
    • 0036532226 scopus 로고    scopus 로고
    • Self-perpetuating states in signal transduction: Positive feedback, double-negative feedback and bistability
    • DOI 10.1016/S0955-0674(02)00314-9
    • Ferrell JE Jr. Self-perpetuating states in signal transduction: Positive feedback, double-negative feedback and bistability. Curr Opin Cell Biol 2002;14:140-8 (Pubitemid 34219501)
    • (2002) Current Opinion in Cell Biology , vol.14 , Issue.2 , pp. 140-148
    • Ferrell, Jr.J.E.1
  • 46
    • 0037676107 scopus 로고    scopus 로고
    • Motifs, modules and games in bacteria
    • DOI 10.1016/S1369-5274(03)00033-X
    • Wolf DM, Arkin AP. Motifs, modules and games in bacteria. Curr Opin Microbiol 2003;6:125-34 (Pubitemid 36628655)
    • (2003) Current Opinion in Microbiology , vol.6 , Issue.2 , pp. 125-134
    • Wolf, D.M.1    Arkin, A.P.2
  • 47
    • 65549167833 scopus 로고    scopus 로고
    • Targeting the mTOR signaling network for cancer therapy
    • Meric-Bernstam F, Gonzalez-Angulo AM. Targeting the mTOR signaling network for cancer therapy. J Clin Oncol 2009;27:2278-87
    • (2009) J. Clin. Oncol. , vol.27 , pp. 2278-2287
    • Meric-Bernstam, F.1    Gonzalez-Angulo, A.M.2
  • 48
    • 77950669072 scopus 로고    scopus 로고
    • Coexpression network analysis of neural tissue reveals perturbations in developmental processes in schizophrenia
    • Torkamani A, Dean B, Schork NJ, et al. Coexpression network analysis of neural tissue reveals perturbations in developmental processes in schizophrenia. Genome Res 2010;20:403-12
    • (2010) Genome. Res. , vol.20 , pp. 403-412
    • Torkamani, A.1    Dean, B.2    Schork, N.J.3
  • 49
    • 58149184695 scopus 로고    scopus 로고
    • Revealing modular architecture of human brain structural networks by using cortical thickness from MRI
    • Chen ZJ, He Y, Rosa-Neto P, et al. Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. Cereb Cortex 2008;18:2374-81
    • (2008) Cereb. Cortex , vol.18 , pp. 2374-2381
    • Chen, Z.J.1    He, Y.2    Rosa-Neto, P.3
  • 50
    • 65649138753 scopus 로고    scopus 로고
    • Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design
    • Antal MA, Bode C, Csermely P. Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design. Curr Protein Pept Sci 2009;10:161-72
    • (2009) Curr. Protein Pept. Sci. , vol.10 , pp. 161-172
    • Antal, M.A.1    Bode, C.2    Csermely, P.3
  • 51
    • 77958564958 scopus 로고    scopus 로고
    • Community landscapes: An integrative approach to determine overlapping network module hierarchy, identify key nodes and preredict network dynamics
    • Kovacs IA, Palotai R, Szalay MS, et al. Community landscapes: An integrative approach to determine overlapping network module hierarchy, identify key nodes and preredict network dynamics. PLoS One 2010;5:e12528
    • (2010) Plos One , vol.5
    • Kovacs, I.A.1    Palotai, R.2    Szalay, M.S.3
  • 52
    • 61649097515 scopus 로고    scopus 로고
    • Temporal perturbation of tyrosine phosphoproteome dynamics reveals the system-wide regulatory networks
    • Oyama M, Kozuka-Hata H, Tasaki S, et al. Temporal perturbation of tyrosine phosphoproteome dynamics reveals the system-wide regulatory networks. Mol Cell Proteomics 2009;8:226-31
    • (2009) Mol. Cell Proteomics , vol.8 , pp. 226-231
    • Oyama, M.1    Kozuka-Hata, H.2    Tasaki, S.3
  • 53
    • 77952836390 scopus 로고    scopus 로고
    • PathWave: Discovering patterns of differentially regulated enzymes in metabolic pathways
    • Schramm G, Wiesberg S, Diessl N, et al. PathWave: Discovering patterns of differentially regulated enzymes in metabolic pathways. Bioinformatics 2010;26:1225-31
    • (2010) Bioinformatics , vol.26 , pp. 1225-1231
    • Schramm, G.1    Wiesberg, S.2    Diessl, N.3
  • 54
    • 77953151341 scopus 로고    scopus 로고
    • Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade
    • Menashe I, Maeder D, Garcia-Closas M, et al. Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade. Cancer Res 2010;70:4453-9
    • (2010) Cancer Res. , vol.70 , pp. 4453-4459
    • Menashe, I.1    Maeder, D.2    Garcia-Closas, M.3
  • 55
    • 68549140311 scopus 로고    scopus 로고
    • Modeling multi-cellular behavior in epidermal tissue homeostasis via finite state machines in multi-agent systems
    • Sutterlin T, Huber S, Dickhaus H, et al. Modeling multi-cellular behavior in epidermal tissue homeostasis via finite state machines in multi-agent systems. Bioinformatics 2009;25:2057-63
    • (2009) Bioinformatics , vol.25 , pp. 2057-2063
    • Sutterlin, T.1    Huber, S.2    Dickhaus, H.3
  • 56
    • 65549092780 scopus 로고    scopus 로고
    • Use of randomized sampling for analysis of metabolic networks
    • Schellenberger J, Palsson BO. Use of randomized sampling for analysis of metabolic networks. J Biol Chem 2009;284:5457-61
    • (2009) J. Biol. Chem. , vol.284 , pp. 5457-5461
    • Schellenberger, J.1    Palsson, B.O.2
  • 57
    • 77954522738 scopus 로고    scopus 로고
    • Pairwise agonist scanning predicts cellular signaling responses to combinatorial stimuli
    • Chatterjee MS, Purvis JE, Brass LF, et al. Pairwise agonist scanning predicts cellular signaling responses to combinatorial stimuli. Nat Biotechnol 2010;28:727-32
    • (2010) Nat. Biotechnol. , vol.28 , pp. 727-732
    • Chatterjee, M.S.1    Purvis, J.E.2    Brass, L.F.3
  • 58
    • 27144487474 scopus 로고    scopus 로고
    • VEGF inhibition and cytotoxic effect of aplidin in leukemia cell lines and cells from acute myeloid leukemia
    • DOI 10.1093/annonc/mdi311
    • Biscardi M, Caporale R, Balestri F, et al. VEGF inhibition and cytotoxic effect of aplidin in leukemia cell lines and cells from acute myeloid leukemia. Ann Oncol 2005;16:1667-74 (Pubitemid 41510142)
    • (2005) Annals of Oncology , vol.16 , Issue.10 , pp. 1667-1674
    • Biscardi, M.1    Caporale, R.2    Balestri, F.3    Gavazzi, S.4    Jimeno, J.5    Grossi, A.6
  • 59
    • 20944441781 scopus 로고    scopus 로고
    • Prostaglandin-mediated control of rat brain kynurenic acid synthesis - Opposite actions by COX-1 and COX-2 isoforms
    • DOI 10.1007/s00702-004-0231-y
    • Schwieler L, Erhardt S, Erhardt C, et al. Prostaglandin-mediated control of rat brain kynurenic acid synthesis-opposite actions by COX-1 and COX-2 isoforms. J Neural Transm 2005;112:863-72 (Pubitemid 40869075)
    • (2005) Journal of Neural Transmission , vol.112 , Issue.7 , pp. 863-872
    • Schwieler, L.1    Erhardt, S.2    Erhardt, C.3    Engberg, G.4
  • 60
    • 77955645841 scopus 로고    scopus 로고
    • Ecology structure and dynamics of ecological networks
    • Bascompte J. Ecology. Structure and dynamics of ecological networks. Science 2010;329:765-6
    • (2010) Science , vol.329 , pp. 765-766
    • Bascompte, J.1
  • 61
    • 54249124501 scopus 로고    scopus 로고
    • Learning biological networks: From modules to dynamics
    • Bonneau R. Learning biological networks: From modules to dynamics. Nat Chem Biol 2008;4:658-64
    • (2008) Nat. Chem. Biol. , vol.4 , pp. 658-664
    • Bonneau, R.1
  • 62
    • 41149088849 scopus 로고    scopus 로고
    • Exploiting complexity and the robustness of network architecture for drug discovery
    • DOI 10.1124/jpet.107.131276
    • Hellerstein MK. Exploiting complexity and the robustness of network architecture for drug discovery. J Pharmacol Exp Ther 2008;325:1-9 (Pubitemid 351439149)
    • (2008) Journal of Pharmacology and Experimental Therapeutics , vol.325 , Issue.1 , pp. 1-9
    • Hellerstein, M.K.1
  • 63
    • 5444223761 scopus 로고    scopus 로고
    • Multiobjective nonlinear system identification: A case study with thyristor controlled series capacitor (TCSC)
    • Nepomuceno EG. Multiobjective nonlinear system identification: A case study with thyristor controlled series capacitor (TCSC). Int J Syst Sci 2004;35:537-46
    • (2004) Int. J. Syst. Sci. , vol.35 , pp. 537-546
    • Nepomuceno, E.G.1
  • 64
    • 33645312379 scopus 로고    scopus 로고
    • Circuitry of nuclear factor kappaB signaling
    • Hoffmann A, Baltimore D. Circuitry of nuclear factor kappaB signaling. Immunol Rev 2006;210:171-86
    • (2006) Immunol. Rev. , vol.210 , pp. 171-186
    • Hoffmann, A.1    Baltimore, D.2
  • 65
    • 77951879100 scopus 로고    scopus 로고
    • Complementarity in biology
    • Mazzocchi F. Complementarity in biology. EMBO Rep 2010;11:339-44
    • (2010) EMBO Rep. , vol.11 , pp. 339-344
    • Mazzocchi, F.1
  • 66
    • 65549124111 scopus 로고    scopus 로고
    • Integrating computational and biochemical studies to explore mechanisms in NF-{kappa}B signaling
    • Kearns JD, Hoffmann A. Integrating computational and biochemical studies to explore mechanisms in NF-{kappa}B signaling. J Biol Chem 2009;284:5439-43
    • (2009) J. Biol. Chem. , vol.284 , pp. 5439-5443
    • Kearns, J.D.1    Hoffmann, A.2
  • 67
    • 77957262587 scopus 로고    scopus 로고
    • The regulatory logic of the NF-kappaB signaling system
    • O'Dea E, Hoffmann A. The regulatory logic of the NF-kappaB signaling system. Cold Spring Harb Perspect Biol 2010;2(1):a000216
    • (2010) Cold Spring Harb Perspect Biol. , vol.2 , Issue.1
    • O'Dea, E.1    Hoffmann, A.2
  • 68
    • 2042502356 scopus 로고    scopus 로고
    • Multi-objective optimization for hybrid fuel cells power system under uncertainty
    • DOI 10.1016/j.jpowsour.2003.12.053
    • Subramanyan K. Multi-objective optimization for hybrid fuel cells power system under uncertainty. J Power Sources 2004;132(1-2):99-112 (Pubitemid 41326043)
    • (2004) Journal of Power Sources , vol.132 , Issue.1-2 , pp. 99-112
    • Subramanyan, K.1    Diwekar, U.M.2    Goyal, A.3
  • 69
    • 33646856921 scopus 로고    scopus 로고
    • Optimal dynamical range of excitable networks at criticality
    • Kinouchi O. Optimal dynamical range of excitable networks at criticality. Nat Phys 2006;2:348-51
    • (2006) Nat. Phys. , vol.2 , pp. 348-351
    • Kinouchi, O.1
  • 70
    • 77953741594 scopus 로고    scopus 로고
    • Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions
    • Nishikawa T, Motter AE. Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions. Proc Natl Acad Sci USA 2010;107:10342-7
    • (2010) Proc. Natl. Acad. Sci. USA , vol.107 , pp. 10342-7
    • Nishikawa, T.1    Motter, A.E.2
  • 71
    • 77955113598 scopus 로고    scopus 로고
    • Dopaminergic network differences in human impulsivity
    • Buckholtz JW, Treadway MT, Cowan RL, et al. Dopaminergic network differences in human impulsivity. Science 2010;329:532
    • (2010) Science , vol.329 , pp. 532
    • Buckholtz, J.W.1    Treadway, M.T.2    Cowan, R.L.3
  • 72
    • 75649102484 scopus 로고    scopus 로고
    • Rules for biologically inspired adaptive network design
    • Tero A, Takagi S, Saigusa T, et al. Rules for biologically inspired adaptive network design. Science 2010;327:439-42
    • (2010) Science , vol.327 , pp. 439-442
    • Tero, A.1    Takagi, S.2    Saigusa, T.3
  • 73
    • 79956334133 scopus 로고    scopus 로고
    • Network-based tools for the identification of novel drug targets
    • pt3
    • Farkas IJ, Korcsmaros T, Kovacs IA, et al. Network-based tools for the identification of novel drug targets. Sci Signal 2011;4(173):pt3
    • (2011) Sci. Signal , vol.4 , pp. 173
    • Farkas, I.J.1    Korcsmaros, T.2    Kovacs, I.A.3
  • 74
    • 33845569346 scopus 로고    scopus 로고
    • Thematic review series: Systems biology approaches to metabolic and cardiovascular disorders. Reverse engineering gene networks to identify key drivers of complex disease phenotypes
    • Schadt EE, Lum PY. Thematic review series: Systems biology approaches to metabolic and cardiovascular disorders. Reverse engineering gene networks to identify key drivers of complex disease phenotypes. J Lipid Res 2006;47:2601-13
    • (2006) J. Lipid Res. , vol.47 , pp. 2601-2613
    • Schadt, E.E.1    Lum, P.Y.2
  • 75
    • 65449134730 scopus 로고    scopus 로고
    • Genge: Systematic generation of gene regulatory networks
    • Hache H, Wierling C, Lehrach H, et al. GeNGe: Systematic generation of gene regulatory networks. Bioinformatics 2009;25:1205-7
    • (2009) Bioinformatics , vol.25 , pp. 1205-1207
    • Hache, H.1    Wierling, C.2    Lehrach, H.3
  • 78
    • 55549101279 scopus 로고    scopus 로고
    • Finding multiple target optimal intervention in disease-related molecular network
    • Yang K, Bai H, Ouyang Q, et al. Finding multiple target optimal intervention in disease-related molecular network. Mol Syst Biol 2008;4:228
    • (2008) Mol. Syst. Biol. , vol.4 , pp. 228
    • Yang, K.1    Bai, H.2    Ouyang, Q.3
  • 79
    • 33746636451 scopus 로고    scopus 로고
    • Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems
    • Kaiser M, Hilgetag CC. Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems. PLoS Comput Biol 2006;2:e95
    • (2006) Plos. Comput. Biol. , vol.2
    • Kaiser, M.1    Hilgetag, C.C.2
  • 80
    • 33747888564 scopus 로고    scopus 로고
    • Inferring functional pathways from multi-perturbation data
    • DOI 10.1093/bioinformatics/btl204
    • Yosef N, Kaufman A, Ruppin E. Inferring functional pathways from multi-perturbation data. Bioinformatics 2006;22:e539-46 (Pubitemid 44288325)
    • (2006) Bioinformatics , vol.22 , Issue.14
    • Yosef, N.1    Kaufman, A.2    Ruppin, E.3
  • 81
    • 77950491448 scopus 로고    scopus 로고
    • PerturbationAnalyzer: A tool for investigating the effects of concentration perturbation on protein interaction networks
    • Li F, Li P, Xu W, et al. PerturbationAnalyzer: A tool for investigating the effects of concentration perturbation on protein interaction networks. Bioinformatics 2010;26:275-7
    • (2010) Bioinformatics , vol.26 , pp. 275-277
    • Li, F.1    Li, P.2    Xu, W.3
  • 82
    • 77955637643 scopus 로고    scopus 로고
    • Cell biology the proteome in balance
    • Hutt D, Balch WE. Cell biology. The proteome in balance. Science 2010;329:766-7
    • (2010) Science , vol.329 , pp. 766-767
    • Hutt, D.1    Balch, W.E.2
  • 83
    • 77956639954 scopus 로고    scopus 로고
    • Focus issue: The evolution of complexity
    • Gough NR, Wong W. Focus issue: The evolution of complexity. Sci Signal 2010;3:eg5
    • (2010) Sci. Signal , vol.3
    • Gough, N.R.1    Wong, W.2
  • 84
    • 77955383804 scopus 로고    scopus 로고
    • An innately dangerous balancing act: Intestinal homeostasis, inflammation, and colitis-associated cancer
    • Asquith M, Powrie F. An innately dangerous balancing act: Intestinal homeostasis, inflammation, and colitis-associated cancer. J Exp Med 2010;207:1573-7
    • (2010) J. Exp. Med. , vol.207 , pp. 1573-1577
    • Asquith, M.1    Powrie, F.2
  • 85
    • 77953849527 scopus 로고    scopus 로고
    • Complementing toll signaling
    • Kagan JC. Complementing toll signaling. Sci Signal 2010;3:pe15
    • (2010) Sci. Signal , vol.3
    • Kagan, J.C.1
  • 86
    • 70349332646 scopus 로고    scopus 로고
    • Nontraditional signaling mechanisms of lipoprotein receptors
    • Rebeck GW. Nontraditional signaling mechanisms of lipoprotein receptors. Sci Signal 2009;2:pe28
    • (2009) Sci. Signal , vol.2
    • Rebeck, G.W.1
  • 87
    • 77950910419 scopus 로고    scopus 로고
    • Revealing strengths and weaknesses of methods for gene network inference
    • Marbach D, Prill RJ, Schaffter T, et al. Revealing strengths and weaknesses of methods for gene network inference. Proc Natl Acad Sci USA 2010;107:6286-91
    • (2010) Proc. Natl. Acad. Sci. USA , vol.107 , pp. 6286-6291
    • Marbach, D.1    Prill, R.J.2    Schaffter, T.3
  • 88
    • 77953636199 scopus 로고    scopus 로고
    • Two receptors, two kinases, and T cell lineage determination
    • Alarcon B, Van Santen HM. Two receptors, two kinases, and T cell lineage determination. Sci Signal 2010;3:pe11
    • (2010) Sci. Signal , vol.3
    • Alarcon, B.1    Van Santen, H.M.2
  • 89
    • 0036904008 scopus 로고    scopus 로고
    • Art, science, and the existential focus of clinical medicine
    • Warsop A. Art, science, and the existential focus of clinical medicine. Med Hum 2002;28:74-7 (Pubitemid 36002227)
    • (2002) Medical Humanities , vol.28 , Issue.2 , pp. 74-77
    • Warsop, A.1
  • 90
    • 77950221000 scopus 로고    scopus 로고
    • Systems biology: Opening new avenues in clinical research
    • Molina F, Dehmer M, Perco P, et al. Systems biology: Opening new avenues in clinical research. Nephrol Dial Transplant 2010;25:1015-18
    • (2010) Nephrol Dial Transplant , vol.25 , pp. 1015-1018
    • Molina, F.1    Dehmer, M.2    Perco, P.3
  • 91
    • 2942526841 scopus 로고    scopus 로고
    • A new biology for a new century
    • DOI 10.1128/MMBR.68.2.173-186.2004
    • Woese CR. A new biology for a new century. Microbiol Mol Biol R 2004;68:173-86 (Pubitemid 38756861)
    • (2004) Microbiology and Molecular Biology Reviews , vol.68 , Issue.2 , pp. 173-186
    • Woese, C.R.1
  • 92
    • 38949118300 scopus 로고    scopus 로고
    • The art to science of cell and developmental biology in EBM
    • Gaskins HR. The art to science of cell and developmental biology in EBM. Exp Biol Med (Maywood) 2008;233:107-8 (Pubitemid 351231542)
    • (2008) Experimental Biology and Medicine , vol.233 , Issue.2 , pp. 107-108
    • Gaskins, H.R.1
  • 93
    • 81755184126 scopus 로고    scopus 로고
    • Allo-network drugs: Harnessing allostery in cellular networks
    • Nussinov R, Tsai C, Csermely P. Allo-network drugs: Harnessing allostery in cellular networks. Trends Pharmacol Sci 2011;32:686-93
    • (2011) Trends Pharmacol. Sci. , vol.32 , pp. 686-693
    • Nussinov, R.1    Tsai, C.2    Csermely, P.3
  • 94
    • 77952620854 scopus 로고    scopus 로고
    • From protoplasmic theory to cellular systems biology: A 150-year reflection
    • Welch GR, Clegg JS. From protoplasmic theory to cellular systems biology: A 150-year reflection. Am J Physiol Cell Physiol 2010;298:C1280-90
    • (2010) Am. J. Physiol. Cell Physiol. , vol.298
    • Welch, G.R.1    Clegg, J.S.2
  • 95
    • 70350469056 scopus 로고    scopus 로고
    • The complexity of cell signaling and the need for a new mechanics
    • Hlavacek WS, Faeder JR. The complexity of cell signaling and the need for a new mechanics. Sci Signal 2009;2:pe46
    • (2009) Sci. Signal , vol.2
    • Hlavacek, W.S.1    Faeder, J.R.2
  • 96
    • 77949527467 scopus 로고    scopus 로고
    • Pulmonary dendritic cells: Thinking globally, acting locally
    • Randall TD. Pulmonary dendritic cells: Thinking globally, acting locally. J Exp Med 2010;207:451-4
    • (2010) J. Exp. Med. , vol.207 , pp. 451-454
    • Randall, T.D.1
  • 97
    • 78650323671 scopus 로고    scopus 로고
    • Predictive, preventive, personalized and participatory medicine: Back to the future
    • Auffray C, Charron D, Hood L. Predictive, preventive, personalized and participatory medicine: Back to the future. Genome Med 2010;2:57
    • (2010) Genome Med. , vol.2 , pp. 57
    • Auffray, C.1    Charron, D.2    Hood, L.3
  • 98
    • 77953811662 scopus 로고    scopus 로고
    • Network systems biology for drug discovery
    • Arrell DK, Terzic A. Network systems biology for drug discovery. Clin Pharmacol Ther 2010;88:120-5
    • (2010) Clin. Pharmacol. Ther. , vol.88 , pp. 120-125
    • Arrell, D.K.1    Terzic, A.2
  • 99
    • 49649111149 scopus 로고    scopus 로고
    • Perturbation of interaction networks for application to cancer therapy
    • Quayle AP, Siddiqui AS, Jones SJ. Perturbation of interaction networks for application to cancer therapy. Cancer Inform 2007;5:45-65
    • (2007) Cancer Inform. , vol.5 , pp. 45-65
    • Quayle, A.P.1    Siddiqui, A.S.2    Jones, S.J.3
  • 100
    • 77949798185 scopus 로고    scopus 로고
    • Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches
    • Kotaleski JH, Blackwell KT. Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches. Nat Rev Neurosci 2010;11:239-51
    • (2010) Nat. Rev. Neurosci. , vol.11 , pp. 239-251
    • Kotaleski, J.H.1    Blackwell, K.T.2
  • 101
    • 54249155522 scopus 로고    scopus 로고
    • Network pharmacology: The next paradigm in drug discovery
    • Hopkins AL. Network pharmacology: The next paradigm in drug discovery. Nat Chem Biol 2008;4:682-90
    • (2008) Nat. Chem. Biol. , vol.4 , pp. 682-690
    • Hopkins, A.L.1
  • 102
    • 67649939163 scopus 로고    scopus 로고
    • The increasing complexity of the cancer stem cell paradigm
    • Rosen JM, Jordan CT. The increasing complexity of the cancer stem cell paradigm. Science 2009;324:1670-3
    • (2009) Science , vol.324 , pp. 1670-1673
    • Rosen, J.M.1    Jordan, C.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.