메뉴 건너뛰기




Volumn 9, Issue 1, 2015, Pages

Systematic synergy modeling: Understanding drug synergy from a systems biology perspective

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MODEL; DRUG POTENTIATION; HUMAN; PROCEDURES; PROTEIN ANALYSIS; SYSTEMS BIOLOGY;

EID: 84941637635     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/s12918-015-0202-y     Document Type: Review
Times cited : (48)

References (76)
  • 1
    • 47549094141 scopus 로고    scopus 로고
    • Antitumour effect of combination treatment with Sabarubicin (MEN 10755) and cis-platin (DDP) in human lung tumour xenograft
    • Bigioni M, Benzo A, Irrissuto C, Lopez G, Curatella B, Maggi CA, et al. Antitumour effect of combination treatment with Sabarubicin (MEN 10755) and cis-platin (DDP) in human lung tumour xenograft. Cancer Chemother Pharmacol. 2008;62:621-9.
    • (2008) Cancer Chemother Pharmacol. , vol.62 , pp. 621-629
    • Bigioni, M.1    Benzo, A.2    Irrissuto, C.3    Lopez, G.4    Curatella, B.5    Maggi, C.A.6
  • 2
    • 0033767132 scopus 로고    scopus 로고
    • Aggrenox: a fixed-dose combination of aspirin and dipyridamole
    • Lenz TL, Hilleman DE. Aggrenox: a fixed-dose combination of aspirin and dipyridamole. Ann Pharmacother. 2000;34:1283-90.
    • (2000) Ann Pharmacother. , vol.34 , pp. 1283-1290
    • Lenz, T.L.1    Hilleman, D.E.2
  • 3
    • 84877666869 scopus 로고    scopus 로고
    • Novel HIV-1 treatment Stribild gains regulatory approval
    • Breeze S. Novel HIV-1 treatment Stribild gains regulatory approval. Expert Rev Clin Pharmacol. 2012;5:613.
    • (2012) Expert Rev Clin Pharmacol. , vol.5 , pp. 613
    • Breeze, S.1
  • 4
  • 5
    • 0035214102 scopus 로고    scopus 로고
    • Combination Therapy With Clopidogrel and Aspirin
    • Albers GW, Amarenco P. Combination Therapy With Clopidogrel and Aspirin. Stroke. 2001;32:2948-9.
    • (2001) Stroke. , vol.32 , pp. 2948-2949
    • Albers, G.W.1    Amarenco, P.2
  • 6
    • 84896490389 scopus 로고    scopus 로고
    • Use of the recommended drug combination for secondary prevention after a first occurrence of acute coronary syndrome in France
    • Bezin J, Pariente A, Lassalle R, Dureau-Pournin C, Abouelfath A, Robinson P, et al. Use of the recommended drug combination for secondary prevention after a first occurrence of acute coronary syndrome in France. Eur J Clin Pharmacol. 2014;70:429-36.
    • (2014) Eur J Clin Pharmacol. , vol.70 , pp. 429-436
    • Bezin, J.1    Pariente, A.2    Lassalle, R.3    Dureau-Pournin, C.4    Abouelfath, A.5    Robinson, P.6
  • 7
    • 84920271269 scopus 로고    scopus 로고
    • In vitro evaluation of a new drug combination against clinical isolates belonging to the Mycobacterium abscessus complex
    • Singh S, Bouzinbi N, Chaturvedi V, Godreuil S, Kremer L. In vitro evaluation of a new drug combination against clinical isolates belonging to the Mycobacterium abscessus complex. Clin Microbiol Infect. 2014;20:O1124-7.
    • (2014) Clin Microbiol Infect. , vol.20 , pp. O1124-O1127
    • Singh, S.1    Bouzinbi, N.2    Chaturvedi, V.3    Godreuil, S.4    Kremer, L.5
  • 8
    • 84905506991 scopus 로고    scopus 로고
    • U.S. Food and drug administration approval: obinutuzumab in combination with chlorambucil for the treatment of previously untreated chronic lymphocytic leukemia
    • Lee HZ, Miller BW, Kwitkowski VE, Ricci S, DelValle P, Saber H, et al. U.S. Food and drug administration approval: obinutuzumab in combination with chlorambucil for the treatment of previously untreated chronic lymphocytic leukemia. Clin Cancer Res. 2014;20:3902-7.
    • (2014) Clin Cancer Res , vol.20 , pp. 3902-3907
    • Lee, H.Z.1    Miller, B.W.2    Kwitkowski, V.E.3    Ricci, S.4    DelValle, P.5    Saber, H.6
  • 9
    • 84874058291 scopus 로고    scopus 로고
    • Topotecan and doxorubicin combination to treat recurrent ovarian cancer: the influence of drug exposure time and delivery systems to achieve optimum therapeutic activity
    • Patankar NA, Pritchard J, van Grinsven M, Osooly M, Bally MB. Topotecan and doxorubicin combination to treat recurrent ovarian cancer: the influence of drug exposure time and delivery systems to achieve optimum therapeutic activity. Clin Cancer Res. 2013;19:865-77.
    • (2013) Clin Cancer Res. , vol.19 , pp. 865-877
    • Patankar, N.A.1    Pritchard, J.2    Grinsven, M.3    Osooly, M.4    Bally, M.B.5
  • 10
    • 84921850405 scopus 로고    scopus 로고
    • Searching for synergy in silico, in vitro and in vivo
    • Sucher NJ. Searching for synergy in silico, in vitro and in vivo. Synergy. 2014;1:30-43.
    • (2014) Synergy , vol.1 , pp. 30-43
    • Sucher, N.J.1
  • 11
    • 0000419454 scopus 로고
    • Die Mischiarnei
    • Loewe S. Die Mischiarnei. Klin Wochenschr. 1927;6:1077-85.
    • (1927) Klin Wochenschr. , vol.6 , pp. 1077-1085
    • Loewe, S.1
  • 12
    • 0001663843 scopus 로고
    • The problem of synergism and antagonism of combined drugs
    • Loewe S. The problem of synergism and antagonism of combined drugs. Arzneimittelforschung. 1953;3:285-90.
    • (1953) Arzneimittelforschung. , vol.3 , pp. 285-290
    • Loewe, S.1
  • 13
    • 84946384873 scopus 로고
    • The toxicity of poison applied jointly
    • Bliss CI. The toxicity of poison applied jointly. Ann Appl Biol. 1939;28:585-615.
    • (1939) Ann Appl Biol. , vol.28 , pp. 585-615
    • Bliss, C.I.1
  • 14
    • 76549129820 scopus 로고    scopus 로고
    • Drug combination studies and their synergy quantification using the Chou-Talalay method
    • Chou TC. Drug combination studies and their synergy quantification using the Chou-Talalay method. Cancer Res. 2010;70:440-6.
    • (2010) Cancer Res. , vol.70 , pp. 440-446
    • Chou, T.C.1
  • 15
    • 33748794547 scopus 로고    scopus 로고
    • Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies
    • Chou TC. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacol Rev. 2006;58:621-81.
    • (2006) Pharmacol Rev. , vol.58 , pp. 621-681
    • Chou, T.C.1
  • 16
    • 84868669789 scopus 로고    scopus 로고
    • Quantitative methods for assessing drug synergism
    • Tallarida RJ. Quantitative methods for assessing drug synergism. Genes & cancer. 2011;2:1003-8.
    • (2011) Genes & cancer. , vol.2 , pp. 1003-1008
    • Tallarida, R.J.1
  • 17
    • 84910127305 scopus 로고    scopus 로고
    • When does 2 plus 2 equal 5? A review of antimicrobial synergy testing
    • Doern CD. When does 2 plus 2 equal 5? A review of antimicrobial synergy testing. J Clin Microbiol. 2014;52:4124-8.
    • (2014) J Clin Microbiol. , vol.52 , pp. 4124-4128
    • Doern, C.D.1
  • 18
    • 84889002223 scopus 로고    scopus 로고
    • Network-based drug discovery by integrating systems biology and computational technologies
    • Leung EL, Cao ZW, Jiang ZH, Zhou H, Liu L. Network-based drug discovery by integrating systems biology and computational technologies. Brief Bioinform. 2013;14:491-505.
    • (2013) Brief Bioinform. , vol.14 , pp. 491-505
    • Leung, E.L.1    Cao, Z.W.2    Jiang, Z.H.3    Zhou, H.4    Liu, L.5
  • 19
    • 15044349115 scopus 로고    scopus 로고
    • The efficiency of multi-target drugs: the network approach might help drug design
    • Csermely P, Agoston V, Pongor S. The efficiency of multi-target drugs: the network approach might help drug design. Trends Pharmacol Sci. 2005;26:178-82.
    • (2005) Trends Pharmacol Sci. , vol.26 , pp. 178-182
    • Csermely, P.1    Agoston, V.2    Pongor, S.3
  • 20
    • 84863085673 scopus 로고    scopus 로고
    • Multi-target drugs: the trend of drug research and development
    • Lu JJ, Pan W, Hu YJ, Wang YT. Multi-target drugs: the trend of drug research and development. PLoS One. 2012;7:e40262.
    • (2012) PLoS One , vol.7 , pp. e40262
    • Lu, J.J.1    Pan, W.2    Hu, Y.J.3    Wang, Y.T.4
  • 21
    • 84934438895 scopus 로고    scopus 로고
    • Systems biology approaches and tools for analysis of interactomes and multi-target drugs
    • Schrattenholz A, Groebe K, Soskic V. Systems biology approaches and tools for analysis of interactomes and multi-target drugs. Methods Mol Biol. 2010;662:29-58.
    • (2010) Methods Mol Biol. , vol.662 , pp. 29-58
    • Schrattenholz, A.1    Groebe, K.2    Soskic, V.3
  • 25
    • 84895922856 scopus 로고    scopus 로고
    • Systems biology in drug discovery and development
    • Berg EL. Systems biology in drug discovery and development. Drug Discov Today. 2014;19:113-25.
    • (2014) Drug Discov Today. , vol.19 , pp. 113-125
    • Berg, E.L.1
  • 26
    • 33845762340 scopus 로고    scopus 로고
    • Multi-target therapeutics: when the whole is greater than the sum of the parts
    • Zimmermann GR, Lehar J, Keith CT. Multi-target therapeutics: when the whole is greater than the sum of the parts. Drug Discov Today. 2007;12:34-42.
    • (2007) Drug Discov Today. , vol.12 , pp. 34-42
    • Zimmermann, G.R.1    Lehar, J.2    Keith, C.T.3
  • 27
    • 84864288185 scopus 로고    scopus 로고
    • A Pathway-Based View of Human Diseases and Disease Relationships
    • Li Y, Agarwal P. A Pathway-Based View of Human Diseases and Disease Relationships. Plos ONE. 2009;4:e4346.
    • (2009) Plos ONE. , vol.4 , pp. e4346
    • Li, Y.1    Agarwal, P.2
  • 28
    • 79959199033 scopus 로고    scopus 로고
    • Network target for screening synergistic drug combinations with application to traditional Chinese medicine
    • Li S, Zhang B, Zhang N. Network target for screening synergistic drug combinations with application to traditional Chinese medicine. BMC Syst Biol. 2011;5 Suppl 1:S10.
    • (2011) BMC Syst Biol , vol.5 , pp. S10
    • Li, S.1    Zhang, B.2    Zhang, N.3
  • 29
    • 84883764338 scopus 로고    scopus 로고
    • Network-based target ranking for polypharmacological therapies
    • Vitali F, Mulas F, Marini P, Bellazzi R. Network-based target ranking for polypharmacological therapies. J Biomed Inform. 2013;46:876-81.
    • (2013) J Biomed Inform. , vol.46 , pp. 876-881
    • Vitali, F.1    Mulas, F.2    Marini, P.3    Bellazzi, R.4
  • 30
    • 84902489807 scopus 로고    scopus 로고
    • DrugComboRanker: drug combination discovery based on target network analysis
    • Huang L, Li F, Sheng J, Xia X, Ma J, Zhan M, et al. DrugComboRanker: drug combination discovery based on target network analysis. Bioinformatics. 2014;30:i228-36.
    • (2014) Bioinformatics. , vol.30 , pp. i228-i236
    • Huang, L.1    Li, F.2    Sheng, J.3    Xia, X.4    Ma, J.5    Zhan, M.6
  • 31
    • 84872815592 scopus 로고    scopus 로고
    • Exploring drug combinations in genetic interaction network
    • Wang YY, Xu KJ, Song J, Zhao XM. Exploring drug combinations in genetic interaction network. BMC bioinformatics. 2012;13 Suppl 7:S7.
    • (2012) BMC bioinformatics , vol.13 , pp. S7
    • Wang, Y.Y.1    Xu, K.J.2    Song, J.3    Zhao, X.M.4
  • 32
    • 84872562284 scopus 로고    scopus 로고
    • NetCAD: a network analysis tool for coronary artery disease-associated PPI network
    • Ren G, Liu Z. NetCAD: a network analysis tool for coronary artery disease-associated PPI network. Bioinformatics. 2013;29:279-80.
    • (2013) Bioinformatics. , vol.29 , pp. 279-280
    • Ren, G.1    Liu, Z.2
  • 34
    • 84929047418 scopus 로고    scopus 로고
    • PPI network analysis of mRNA expression profile of ezrin knockdown in esophageal squamous cell carcinoma
    • Wu B, Xie J, Du Z, Wu J, Zhang P, Xu L, et al. PPI network analysis of mRNA expression profile of ezrin knockdown in esophageal squamous cell carcinoma. Biomed Res Int. 2014;2014:651954.
    • (2014) Biomed Res Int. , vol.2014 , pp. 651954
    • Wu, B.1    Xie, J.2    Du, Z.3    Wu, J.4    Zhang, P.5    Xu, L.6
  • 36
    • 59349083179 scopus 로고    scopus 로고
    • Mechanisms of drug combinations: interaction and network perspectives
    • Jia J, Zhu F, Ma X, Cao Z, Li Y, Chen YZ. Mechanisms of drug combinations: interaction and network perspectives. Nat Rev Drug Discov. 2009;8:111-28.
    • (2009) Nat Rev Drug Discov. , vol.8 , pp. 111-128
    • Jia, J.1    Zhu, F.2    Ma, X.3    Cao, Z.4    Li, Y.5    Chen, Y.Z.6
  • 37
    • 70350569876 scopus 로고    scopus 로고
    • Comparing different ODE modelling approaches for gene regulatory networks
    • Polynikis A, Hogan SJ, di Bernardo M. Comparing different ODE modelling approaches for gene regulatory networks. J Theor Biol. 2009;261:511-30.
    • (2009) J Theor Biol. , vol.261 , pp. 511-530
    • Polynikis, A.1    Hogan, S.J.2    Bernardo, M.3
  • 38
    • 84905674000 scopus 로고    scopus 로고
    • The dynamics of p53 in single cells: physiologically based ODE and reaction-diffusion PDE models
    • Elias J, Dimitrio L, Clairambault J, Natalini R. The dynamics of p53 in single cells: physiologically based ODE and reaction-diffusion PDE models. Phys Biol. 2014;11:045001.
    • (2014) Phys Biol. , vol.11 , pp. 045001
    • Elias, J.1    Dimitrio, L.2    Clairambault, J.3    Natalini, R.4
  • 39
    • 84890126626 scopus 로고
    • Hybrid modeling of the crosstalk between signaling and transcriptional networks using ordinary differential equations and multi-valued logic
    • Khan FM, Schmitz U, Nikolov S, Engelmann D, Putzer BM, Wolkenhauer O, et al. Hybrid modeling of the crosstalk between signaling and transcriptional networks using ordinary differential equations and multi-valued logic. Biochim Biophys Acta. 1844;2014:289-98.
    • (1844) Biochim Biophys Acta. , vol.2014 , pp. 289-298
    • Khan, F.M.1    Schmitz, U.2    Nikolov, S.3    Engelmann, D.4    Putzer, B.M.5    Wolkenhauer, O.6
  • 40
    • 14644403608 scopus 로고    scopus 로고
    • A mathematical model of combination therapy using the EGFR signaling network
    • Araujo RP, Petricoin EF, Liotta LA. A mathematical model of combination therapy using the EGFR signaling network. Biosystems. 2005;80:57-69.
    • (2005) Biosystems. , vol.80 , pp. 57-69
    • Araujo, R.P.1    Petricoin, E.F.2    Liotta, L.A.3
  • 42
    • 84892770816 scopus 로고    scopus 로고
    • Systems Modeling of Anti-apoptotic Pathways in Prostate Cancer: Psychological Stress Triggers a Synergism Pattern Switch in Drug Combination Therapy
    • Sun X, Bao J, Nelson KC, Li KC, Kulik G, Zhou X. Systems Modeling of Anti-apoptotic Pathways in Prostate Cancer: Psychological Stress Triggers a Synergism Pattern Switch in Drug Combination Therapy. PLoS Comput Biol. 2013;9:e1003358.
    • (2013) PLoS Comput Biol. , vol.9 , pp. e1003358
    • Sun, X.1    Bao, J.2    Nelson, K.C.3    Li, K.C.4    Kulik, G.5    Zhou, X.6
  • 43
    • 84885811004 scopus 로고    scopus 로고
    • Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets
    • Miller ML, Molinelli EJ, Nair JS, Sheikh T, Samy R, Jing X, et al. Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets. Sci signal. 2013;6:ra85.
    • (2013) Sci signal , vol.6 , pp. ra85
    • Miller, M.L.1    Molinelli, E.J.2    Nair, J.S.3    Sheikh, T.4    Samy, R.5    Jing, X.6
  • 45
    • 77951134093 scopus 로고    scopus 로고
    • A formal model for analyzing drug combination effects and its application in TNF-alpha-induced NFkappaB pathway
    • Yan H, Zhang B, Li S, Zhao Q. A formal model for analyzing drug combination effects and its application in TNF-alpha-induced NFkappaB pathway. BMC Syst Biol. 2010;4:50.
    • (2010) BMC Syst Biol. , vol.4 , pp. 50
    • Yan, H.1    Zhang, B.2    Li, S.3    Zhao, Q.4
  • 46
    • 80051741587 scopus 로고    scopus 로고
    • Network Modeling of MDM2 Inhibitor-Oxaliplatin Combination Reveals Biological Synergy in wt-p53 solid tumors
    • Azmi AS, Banerjee S, Ali S, Wang Z, Bao B, Beck FWJ, et al. Network Modeling of MDM2 Inhibitor-Oxaliplatin Combination Reveals Biological Synergy in wt-p53 solid tumors. Oncotarget. 2011;2:15.
    • (2011) Oncotarget , vol.2 , pp. 15
    • Azmi, A.S.1    Banerjee, S.2    Ali, S.3    Wang, Z.4    Bao, B.5    Beck, F.W.J.6
  • 47
    • 84927946806 scopus 로고    scopus 로고
    • A Critical Role for Immune System Response in Mediating Anti-influenza Drug Synergies Assessed by Mechanistic Modeling
    • Li Z, Zhou H, Lu Y, Colatsky T. A Critical Role for Immune System Response in Mediating Anti-influenza Drug Synergies Assessed by Mechanistic Modeling. CPT Pharmacometrics Syst Pharmacol. 2014;3, e135.
    • (2014) CPT Pharmacometrics Syst Pharmacol. , vol.3
    • Li, Z.1    Zhou, H.2    Lu, Y.3    Colatsky, T.4
  • 49
    • 84863253706 scopus 로고    scopus 로고
    • Biological network motif detection: principles and practice
    • Wong E, Baur B, Quader S, Huang CH. Biological network motif detection: principles and practice. Brief Bioinform. 2012;13:202-15.
    • (2012) Brief Bioinform. , vol.13 , pp. 202-215
    • Wong, E.1    Baur, B.2    Quader, S.3    Huang, C.H.4
  • 51
    • 77951681944 scopus 로고    scopus 로고
    • Functional motifs in biochemical reaction networks
    • Tyson JJ, Novak B. Functional motifs in biochemical reaction networks. Annu Rev Phys Chem. 2010;61:219-40.
    • (2010) Annu Rev Phys Chem. , vol.61 , pp. 219-240
    • Tyson, J.J.1    Novak, B.2
  • 53
    • 84897371312 scopus 로고    scopus 로고
    • Computational analyses of synergism in small molecular network motifs
    • Zhang Y, Smolen P, Baxter DA, Byrne JH. Computational analyses of synergism in small molecular network motifs. PLoS Comput Biol. 2014;10, e1003524.
    • (2014) PLoS Comput Biol. , vol.10
    • Zhang, Y.1    Smolen, P.2    Baxter, D.A.3    Byrne, J.H.4
  • 54
    • 84899579053 scopus 로고    scopus 로고
    • Synergistic and Antagonistic Drug Combinations Depend on Network Topology
    • Yin N, Ma W, Pei J, Ouyang Q, Tang C, Lai L. Synergistic and Antagonistic Drug Combinations Depend on Network Topology. PLoS ONE. 2014;9, e93960.
    • (2014) PLoS ONE. , vol.9
    • Yin, N.1    Ma, W.2    Pei, J.3    Ouyang, Q.4    Tang, C.5    Lai, L.6
  • 55
    • 84879134966 scopus 로고    scopus 로고
    • Combinatorial drug screening identifies compensatory pathway interactions and adaptive resistance mechanisms
    • Axelrod M, Gordon VL, Conaway M, Tarcsafalvi A, Neitzke DJ, Gioeli D, et al. Combinatorial drug screening identifies compensatory pathway interactions and adaptive resistance mechanisms. Oncotarget. 2013;4:622-35.
    • (2013) Oncotarget. , vol.4 , pp. 622-635
    • Axelrod, M.1    Gordon, V.L.2    Conaway, M.3    Tarcsafalvi, A.4    Neitzke, D.J.5    Gioeli, D.6
  • 56
    • 67349237957 scopus 로고    scopus 로고
    • Synergistic combinations of signaling pathway inhibitors: Mechanisms for improved cancer therapy
    • Dent P, Curiel DT, Fisher PB, Grant S. Synergistic combinations of signaling pathway inhibitors: Mechanisms for improved cancer therapy. Drug Resist Updat. 2009;12:65-73.
    • (2009) Drug Resist Updat. , vol.12 , pp. 65-73
    • Dent, P.1    Curiel, D.T.2    Fisher, P.B.3    Grant, S.4
  • 57
    • 78650345652 scopus 로고    scopus 로고
    • Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations
    • Azmi AS, Wang Z, Philip PA, Mohammad RM, Sarkar FH. Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations. Mol Cancer Ther.2010;9:3137-44.
    • (2010) Mol Cancer Ther. , vol.9 , pp. 3137-3144
    • Azmi, A.S.1    Wang, Z.2    Philip, P.A.3    Mohammad, R.M.4    Sarkar, F.H.5
  • 58
    • 84871967576 scopus 로고    scopus 로고
    • Polypharmacology: drug discovery for the future
    • Reddy AS, Zhang S. Polypharmacology: drug discovery for the future. Expert Rev Clin Pharmacol. 2013;6:41-7.
    • (2013) Expert Rev Clin Pharmacol. , vol.6 , pp. 41-47
    • Reddy, A.S.1    Zhang, S.2
  • 60
    • 84878668031 scopus 로고    scopus 로고
    • Models of signalling networks - what cell biologists can gain from them and give to them
    • Janes KA, Lauffenburger DA. Models of signalling networks - what cell biologists can gain from them and give to them. J Cell Sci. 2013;126:1913-21.
    • (2013) J Cell Sci. , vol.126 , pp. 1913-1921
    • Janes, K.A.1    Lauffenburger, D.A.2
  • 61
    • 84855272311 scopus 로고    scopus 로고
    • Prediction of drug combinations by integrating molecular and pharmacological data
    • Zhao XM, Iskar M, Zeller G, Kuhn M, van Noort V, Bork P. Prediction of drug combinations by integrating molecular and pharmacological data. PLoS Comput Biol. 2011;7, e1002323.
    • (2011) PLoS Comput Biol. , vol.7
    • Zhao, X.M.1    Iskar, M.2    Zeller, G.3    Kuhn, M.4    Noort, V.5    Bork, P.6
  • 62
    • 84884848430 scopus 로고    scopus 로고
    • Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways
    • Chen L, Li BQ, Zheng MY, Zhang J, Feng KY, Cai YD. Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways. Biomed Res Int. 2013;2013:723780.
    • (2013) Biomed Res Int. , vol.2013 , pp. 723780
    • Chen, L.1    Li, B.Q.2    Zheng, M.Y.3    Zhang, J.4    Feng, K.Y.5    Cai, Y.D.6
  • 63
    • 77950357495 scopus 로고    scopus 로고
    • Use of transcriptomics in understanding mechanisms of drug-induced toxicity
    • Cui Y, Paules RS. Use of transcriptomics in understanding mechanisms of drug-induced toxicity. Pharmacogenomics. 2010;11:573-85.
    • (2010) Pharmacogenomics. , vol.11 , pp. 573-585
    • Cui, Y.1    Paules, R.S.2
  • 64
    • 84855906454 scopus 로고    scopus 로고
    • Systems pharmacology: network analysis to identify multiscale mechanisms of drug action
    • Zhao S, Iyengar R. Systems pharmacology: network analysis to identify multiscale mechanisms of drug action. Annu Rev Pharmacol Toxicol. 2012;52:505-21.
    • (2012) Annu Rev Pharmacol Toxicol. , vol.52 , pp. 505-521
    • Zhao, S.1    Iyengar, R.2
  • 65
    • 84901805285 scopus 로고    scopus 로고
    • Comparative analysis of the omics technologies used to study antimonial, amphotericin B, and pentamidine resistance in leishmania
    • Kaur G, Rajput B. Comparative analysis of the omics technologies used to study antimonial, amphotericin B, and pentamidine resistance in leishmania. J Parasitol Res. 2014;2014:726328.
    • (2014) J Parasitol Res. , vol.2014 , pp. 726328
    • Kaur, G.1    Rajput, B.2
  • 66
    • 84929248220 scopus 로고    scopus 로고
    • Comparative transcriptomics and metabolomics in a rhesus macaque drug administration study
    • Lee KJ, Yin W, Arafat D, Tang Y, Uppal K, Tran V, et al. Comparative transcriptomics and metabolomics in a rhesus macaque drug administration study. Front Cell Dev Biol. 2014;2:54.
    • (2014) Front Cell Dev Biol. , vol.2 , pp. 54
    • Lee, K.J.1    Yin, W.2    Arafat, D.3    Tang, Y.4    Uppal, K.5    Tran, V.6
  • 67
    • 79953158399 scopus 로고    scopus 로고
    • Exploring the genomes of cancer cells: progress and promise
    • Stratton MR. Exploring the genomes of cancer cells: progress and promise. Science. 2011;331:1553-8.
    • (2011) Science. , vol.331 , pp. 1553-1558
    • Stratton, M.R.1
  • 68
    • 85030092658 scopus 로고    scopus 로고
    • Multi-omic landscape of rheumatoid arthritis: re-evaluation of drug adverse effects
    • Tieri P, Zhou X, Zhu L, Nardini C. Multi-omic landscape of rheumatoid arthritis: re-evaluation of drug adverse effects. Front Cell Dev Biol. 2014;2:59.
    • (2014) Front Cell Dev Biol. , vol.2 , pp. 59
    • Tieri, P.1    Zhou, X.2    Zhu, L.3    Nardini, C.4
  • 69
    • 33749335282 scopus 로고    scopus 로고
    • The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease
    • Lamb J, Crawford ED, Peck D, Modell JW, Blat IC, Wrobel MJ, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science. 2006;313:1929-35.
    • (2006) Science. , vol.313 , pp. 1929-1935
    • Lamb, J.1    Crawford, E.D.2    Peck, D.3    Modell, J.W.4    Blat, I.C.5    Wrobel, M.J.6
  • 70
    • 84922366147 scopus 로고    scopus 로고
    • Toward a road map for global -omics: a primer on -omic technologies
    • Coughlin SS. Toward a road map for global -omics: a primer on -omic technologies. AM J Epidemiol. 2004;180:1188-95.
    • (2004) AM J Epidemiol. , vol.180 , pp. 1188-1195
    • Coughlin, S.S.1
  • 71
    • 77956836440 scopus 로고    scopus 로고
    • A systems biology approach to identify effective cocktail drugs
    • Wu Z, Zhao XM, Chen L. A systems biology approach to identify effective cocktail drugs. BMC Syst Biol. 2010;4 Suppl 2:S7.
    • (2010) BMC Syst Biol , vol.4 , pp. S7
    • Wu, Z.1    Zhao, X.M.2    Chen, L.3
  • 72
    • 79959473110 scopus 로고    scopus 로고
    • An enhanced Petri-net model to predict synergistic effects of pairwise drug combinations from gene microarray data
    • Jin G, Zhao H, Zhou X, Wong ST. An enhanced Petri-net model to predict synergistic effects of pairwise drug combinations from gene microarray data. Bioinformatics. 2011;27:i310-6.
    • (2011) Bioinformatics. , vol.27 , pp. i310-i316
    • Jin, G.1    Zhao, H.2    Zhou, X.3    Wong, S.T.4
  • 73
    • 84896802719 scopus 로고    scopus 로고
    • Predicting cooperative drug effects through the quantitative cellular profiling of response to individual drugs
    • Zhao J, Zhang XS, Zhang S. Predicting cooperative drug effects through the quantitative cellular profiling of response to individual drugs. CPT Pharmacometrics Syst Pharmacol. 2014;3, e102.
    • (2014) CPT Pharmacometrics Syst Pharmacol. , vol.3
    • Zhao, J.1    Zhang, X.S.2    Zhang, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.