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Volumn 11, Issue 6, 2016, Pages 609-621

Computational modeling in melanoma for novel drug discovery

Author keywords

Computational modeling; in silico drug discovery; melanoma; systems biology

Indexed keywords

ANTINEOPLASTIC AGENT; DABRAFENIB; MELANIN; NEW DRUG; RAPAMYCIN; SUNITINIB; VEMURAFENIB;

EID: 84964424263     PISSN: 17460441     EISSN: 1746045X     Source Type: Journal    
DOI: 10.1080/17460441.2016.1174688     Document Type: Review
Times cited : (17)

References (86)
  • 1
    • 33747812085 scopus 로고    scopus 로고
    • Applying computational modeling to drug discovery and development
    • N.Kumar, B.S.Hendriks, K.A.Janes, et al. Applying computational modeling to drug discovery and development. Drug Discov Today. 2006;11(17–18):806–811. doi:10.1016/j.drudis.2006.07.010.
    • (2006) Drug Discov Today , vol.11 , Issue.17-18 , pp. 806-811
    • Kumar, N.1    Hendriks, B.S.2    Janes, K.A.3
  • 2
    • 33745684404 scopus 로고    scopus 로고
    • Melanoma
    • A.J.Miller, M.C.MihmJr. Melanoma. N Engl J Med. 2006;355(1):51–65. doi:10.1056/NEJMra052166.
    • (2006) N Engl J Med , vol.355 , Issue.1 , pp. 51-65
    • Miller, A.J.1    Mihm, M.C.2
  • 3
    • 35548944929 scopus 로고    scopus 로고
    • Safety and immunogenicity of tyrosinase DNA vaccines in patients with melanoma
    • J.D.Wolchok, J.Yuan, A.N.Houghton, et al. Safety and immunogenicity of tyrosinase DNA vaccines in patients with melanoma. Mol Ther. 2007;15(11):2044–2050. doi:10.1038/sj.mt.6300290.
    • (2007) Mol Ther , vol.15 , Issue.11 , pp. 2044-2050
    • Wolchok, J.D.1    Yuan, J.2    Houghton, A.N.3
  • 4
    • 84896717760 scopus 로고    scopus 로고
    • V600E mutation in cutaneous melanoma patients with occupational sun exposure
    • V600E mutation in cutaneous melanoma patients with occupational sun exposure. Oncol Rep. 2014;31:1079–1082. doi:10.3892/or.2014.2977.
    • (2014) Oncol Rep , vol.31 , pp. 1079-1082
    • Candido, S.1    Rapisarda, V.2    Marconi, A.3
  • 5
    • 85017034512 scopus 로고    scopus 로고
    • Melanoma
    • D.Schadendorf, E.F.Fisher, C.Garbe, et al. Melanoma. Nat Rev Dis Primers. 2015;15003. doi:10.1038/nrdp.2015.3•• Describes in depth the fundamental biological processes in melanoma cancerous transformations.
    • (2015) Nat Rev Dis Primers , vol.15003
    • Schadendorf, D.1    Fisher, E.F.2    Garbe, C.3
  • 6
    • 84859972424 scopus 로고    scopus 로고
    • Routine multiplex mutational profiling of melanomas enables enrollment in genotype-driven therapeutic trials
    • C.M.Lovly, K.M.Dahlman, L.E.Fohm, et al. Routine multiplex mutational profiling of melanomas enables enrollment in genotype-driven therapeutic trials. Plos One. 2012;7(4):e35309. doi:10.1371/journal.pone.0035309.
    • (2012) Plos One , vol.7 , Issue.4 , pp. e35309
    • Lovly, C.M.1    Dahlman, K.M.2    Fohm, L.E.3
  • 7
    • 77955493250 scopus 로고    scopus 로고
    • Incidence of the V600K mutation among melanoma patients with B-RAF mutations, and potential therapeutic response to the specific B-RAF inhibitor PLX4032
    • J.C.Rubinstein, M.Sznol, A.C.Pavlick, et al. Incidence of the V600K mutation among melanoma patients with B-RAF mutations, and potential therapeutic response to the specific B-RAF inhibitor PLX4032. J Transl Med. 2010;8:67. doi:10.1186/1479-5876-8-72.
    • (2010) J Transl Med , vol.8 , pp. 67
    • Rubinstein, J.C.1    Sznol, M.2    Pavlick, A.C.3
  • 8
    • 26444468886 scopus 로고    scopus 로고
    • Analysis of B-RAF mutation in primary and metastatic melanoma
    • Oct
    • M.Libra, G.Malaponte, P.M.Navolanic, et al. Analysis of B-RAF mutation in primary and metastatic melanoma. Cell Cycle. 2005 Oct;4(10):1382–1384.
    • (2005) Cell Cycle , vol.4 , Issue.10 , pp. 1382-1384
    • Libra, M.1    Malaponte, G.2    Navolanic, P.M.3
  • 9
    • 5444227865 scopus 로고    scopus 로고
    • Guilty as charged: B-RAF is a human oncogene
    • M.J.Garnett, R.Marais Guilty as charged: B-RAF is a human oncogene. Cancer Cell. 2004;6:313–319. doi:10.1016/j.ccr.2004.09.022.• Highlights the activation of the MAPK pathway in melanoma.
    • (2004) Cancer Cell , vol.6 , pp. 313-319
    • Garnett, M.J.1    Marais, R.2
  • 11
    • 1442274619 scopus 로고    scopus 로고
    • Genetic interaction between NRAS and B-RAF mutations and PTEN/MMAC1 inactivation in melanoma
    • Feb
    • H.Tsao, V.Goel, H.Wu, et al. Genetic interaction between NRAS and B-RAF mutations and PTEN/MMAC1 inactivation in melanoma. J Invest Dermatol. 2004 Feb;122(2):337–341. doi:10.1046/j.0022-202X.2004.22243.x.
    • (2004) J Invest Dermatol , vol.122 , Issue.2 , pp. 337-341
    • Tsao, H.1    Goel, V.2    Wu, H.3
  • 12
    • 84856253626 scopus 로고    scopus 로고
    • Cross-talk between mitogenic Ras/MAPK and survival PI3K/AKT pathways: a fine balance
    • E.Aksamitiene, A.B.Kiyatkin, B.N.Kholodenko. Cross-talk between mitogenic Ras/MAPK and survival PI3K/AKT pathways: a fine balance. Biochem Soc Trans. 2012;40(1):139–146. doi:10.1042/BST20110609.
    • (2012) Biochem Soc Trans , vol.40 , Issue.1 , pp. 139-146
    • Aksamitiene, E.1    Kiyatkin, A.B.2    Kholodenko, B.N.3
  • 13
    • 0036316691 scopus 로고    scopus 로고
    • Phosphatidylinositol 3‐kinase is a central mediator of NMDA receptor signalling to MAP kinase (ERK1/2), AKT/PKB and CREB in striatal neurones
    • M.S.Perkinton, J.K.Ip, G.L.Wood, et al. Phosphatidylinositol 3‐kinase is a central mediator of NMDA receptor signalling to MAP kinase (ERK1/2), AKT/PKB and CREB in striatal neurones. J Neurochem. 2002;80(2):239–254.
    • (2002) J Neurochem , vol.80 , Issue.2 , pp. 239-254
    • Perkinton, M.S.1    Ip, J.K.2    Wood, G.L.3
  • 14
    • 0033776498 scopus 로고    scopus 로고
    • Role of phosphoinositide 3-kinase and endocytosis in nerve growth factor-induced extracellular signal-regulated kinase activation via Ras and Rap1
    • R.D.York, D.C.Molliver, S.S.Grewal, et al. Role of phosphoinositide 3-kinase and endocytosis in nerve growth factor-induced extracellular signal-regulated kinase activation via Ras and Rap1. Mol Cell Biol. 2000;20(21):8069–8083.
    • (2000) Mol Cell Biol , vol.20 , Issue.21 , pp. 8069-8083
    • York, R.D.1    Molliver, D.C.2    Grewal, S.S.3
  • 15
    • 4644250844 scopus 로고    scopus 로고
    • Phosphatidylinositol 3-kinase activates ERK in primary sensory neurons and mediates inflammatory heat hyperalgesia through TRPV1 sensitization
    • Z.Y.Zhuang, H.Xu, D.E.Clapham, et al. Phosphatidylinositol 3-kinase activates ERK in primary sensory neurons and mediates inflammatory heat hyperalgesia through TRPV1 sensitization. J Neurosci. 2004;24(38):8300–8309. doi:10.1523/JNEUROSCI.2893-04.2004.
    • (2004) J Neurosci , vol.24 , Issue.38 , pp. 8300-8309
    • Zhuang, Z.Y.1    Xu, H.2    Clapham, D.E.3
  • 16
    • 84902580679 scopus 로고    scopus 로고
    • Emerging targeted therapies for melanoma treatment (review)
    • A.Russo, B.Ficili, S.Candido, et al., et al. Emerging targeted therapies for melanoma treatment (review). Int J Oncol. 2014;45(2):516–524. doi:10.3892/ijo.2014.2481.
    • (2014) Int J Oncol , vol.45 , Issue.2 , pp. 516-524
    • Russo, A.1    Ficili, B.2    Candido, S.3
  • 17
    • 84959017186 scopus 로고    scopus 로고
    • AKT inhibitors in cancer treatment: the long journey from drug discovery to clinical use (Review)
    • Dec, [Epub ahead of print]
    • G.M.Nitulescu, D.Margina, P.Juzenas, et al. AKT inhibitors in cancer treatment: the long journey from drug discovery to clinical use (Review). Int J Oncol. 2015 Dec 24. doi:10.3892/ijo.2015.3306. [Epub ahead of print].
    • (2015) Int J Oncol
    • Nitulescu, G.M.1    Margina, D.2    Juzenas, P.3
  • 18
    • 84864285704 scopus 로고    scopus 로고
    • Dabrafenib in B-RAF mutated metastatic melanoma: a multicentre, open-label, phase 3 randomised controlled trial
    • A.Hauschild, -J.-J.Grob, L.V.Demidov, et al. Dabrafenib in B-RAF mutated metastatic melanoma: a multicentre, open-label, phase 3 randomised controlled trial. Lancet. 2012;380(9839):358–365. doi:10.1016/S0140-6736(12)60868-X.
    • (2012) Lancet , vol.380 , Issue.9839 , pp. 358-365
    • Hauschild, A.1    Grob, -J.-J.2    Demidov, L.V.3
  • 20
    • 55749088393 scopus 로고    scopus 로고
    • Preclinical overview of sorafenib, a multikinase inhibitor that targets both RAF and VEGF and PDGF receptor tyrosine kinase signaling
    • S.M.Wilhelm, L.Adnane, P.Newell, et al. Preclinical overview of sorafenib, a multikinase inhibitor that targets both RAF and VEGF and PDGF receptor tyrosine kinase signaling. Mol Cancer Ther. 2008;7(10):3129–3140. doi:10.1158/1535-7163.MCT-08-0013.
    • (2008) Mol Cancer Ther , vol.7 , Issue.10 , pp. 3129-3140
    • Wilhelm, S.M.1    Adnane, L.2    Newell, P.3
  • 21
    • 84863673204 scopus 로고    scopus 로고
    • Improved survival with MEK inhibition in B-RAF mutated melanoma
    • K.T.Flaherty, C.Robert, P.Hersey, et al. Improved survival with MEK inhibition in B-RAF mutated melanoma. New England J Med. 2012;367(2):107–114. doi:10.1056/NEJMoa1203421.
    • (2012) New England J Med , vol.367 , Issue.2 , pp. 107-114
    • Flaherty, K.T.1    Robert, C.2    Hersey, P.3
  • 22
    • 84867019275 scopus 로고    scopus 로고
    • Sensitivity to the MEK inhibitor E6201 in melanoma cells is associated with mutant B-RAF and wildtype PTEN status
    • S.A.Byron, D.C.Loch, C.L.Wellens, et al. Sensitivity to the MEK inhibitor E6201 in melanoma cells is associated with mutant B-RAF and wildtype PTEN status. Mol Cancer. 2012;11(1):1186. doi:10.1186/1476-4598-11-75.
    • (2012) Mol Cancer , vol.11 , Issue.1 , pp. 1186
    • Byron, S.A.1    Loch, D.C.2    Wellens, C.L.3
  • 23
    • 84878652051 scopus 로고    scopus 로고
    • PI3K and MEK inhibitor combinations: examining the evidence in selected tumor types
    • C.D.Britten. PI3K and MEK inhibitor combinations: examining the evidence in selected tumor types. Cancer Chemother Pharmacol. 2013;71(6):1395–1409. doi:10.1007/s00280-013-2121-1.
    • (2013) Cancer Chemother Pharmacol , vol.71 , Issue.6 , pp. 1395-1409
    • Britten, C.D.1
  • 24
    • 84870680416 scopus 로고    scopus 로고
    • Clinical development of phosphatidylinositol 3-kinase inhibitors for cancer treatment
    • I.Brana, L.S.Lillian. Clinical development of phosphatidylinositol 3-kinase inhibitors for cancer treatment. BMC Med. 2012;10:161. doi:10.1186/1741-7015-10-161.
    • (2012) BMC Med , vol.10 , pp. 161
    • Brana, I.1    Lillian, L.S.2
  • 25
    • 68249093818 scopus 로고    scopus 로고
    • Targeting the phosphoinositide 3-kinase pathway in cancer
    • P.Liu, H.Cheng, T.M.Roberts, et al. Targeting the phosphoinositide 3-kinase pathway in cancer. Nat Rev Drug Discov. 2009;8(8):627–644. doi:10.1038/nrd2926.
    • (2009) Nat Rev Drug Discov , vol.8 , Issue.8 , pp. 627-644
    • Liu, P.1    Cheng, H.2    Roberts, T.M.3
  • 26
    • 79957983577 scopus 로고    scopus 로고
    • Targeting the PI3K/AKT/mTOR pathway – beyond rapalogs
    • B.Markman, R.Dienstmann, J.Tabernero. Targeting the PI3K/AKT/mTOR pathway – beyond rapalogs. Oncotarget. 2010;1(7):530–543. doi:10.18632/oncotarget.101012.
    • (2010) Oncotarget , vol.1 , Issue.7 , pp. 530-543
    • Markman, B.1    Dienstmann, R.2    Tabernero, J.3
  • 27
    • 85003054266 scopus 로고    scopus 로고
    • Ipilimumab therapy in patients with advanced melanoma and preexisting autoimmune isorders
    • D.B.Johnson, R.J.Sullivan, P.A.Ott, et al. Ipilimumab therapy in patients with advanced melanoma and preexisting autoimmune isorders. JAMA Oncol. 2015;2(2):1–7.
    • (2015) JAMA Oncol , pp. 1-7
    • Johnson, D.B.1    Sullivan, R.J.2    Ott, P.A.3
  • 28
    • 84960443188 scopus 로고    scopus 로고
    • Genetic progression of malignant melanoma
    • J.Tímár, L.Vizkeleti, V.Doma, et al. Genetic progression of malignant melanoma. Cancer Metastasis Rev. 2016;35(1):93–107. doi:10.1007/s10555-016-9613-5.
    • (2016) Cancer Metastasis Rev
    • Tímár, J.1    Vizkeleti, L.2    Doma, V.3
  • 29
    • 84857184141 scopus 로고    scopus 로고
    • Gene alterations in the PI3K/PTEN/AKT pathway as a mechanism of drug-resistance (review)
    • S.Hafsi, F.M.Pezzino, S.Candido, et al. Gene alterations in the PI3K/PTEN/AKT pathway as a mechanism of drug-resistance (review). Int J Oncol. 2012;40(3):639–644. doi:10.3892/ijo.2011.1312.
    • (2012) Int J Oncol , vol.40 , Issue.3 , pp. 639-644
    • Hafsi, S.1    Pezzino, F.M.2    Candido, S.3
  • 30
    • 84929376895 scopus 로고    scopus 로고
    • Modeling biology spanning different scales: an open challenge
    • F.Castiglione, F.Pappalardo, C.Bianca, et al. Modeling biology spanning different scales: an open challenge. Biomed Res Int. 2014. Article ID 902545, 9. doi:10.1155/2014/902545
    • (2014) Biomed Res Int
    • Castiglione, F.1    Pappalardo, F.2    Bianca, C.3
  • 31
    • 84943608512 scopus 로고    scopus 로고
    • Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations
    • F.Gullo, M.van der Garde, G.Russo, et al. Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations. Bioinformatics. 2015;31(15):2514–2522. doi:10.1093/bioinformatics/btv172.
    • (2015) Bioinformatics , vol.31 , Issue.15 , pp. 2514-2522
    • Gullo, F.1    van der Garde, M.2    Russo, G.3
  • 32
    • 84863771181 scopus 로고    scopus 로고
    • Mathematical and computational models in tumor immunology
    • F.Pappalardo, A.Palladini, M.Pennisi, et al. Mathematical and computational models in tumor immunology. Math Model Nat Phenom. 2012;7(3):186–203. doi:10.1051/mmnp/20127312.
    • (2012) Math Model Nat Phenom , vol.7 , Issue.3 , pp. 186-203
    • Pappalardo, F.1    Palladini, A.2    Pennisi, M.3
  • 33
    • 0037079054 scopus 로고    scopus 로고
    • Computational systems biology
    • H.Kitano. Computational systems biology. Nature. 2002;420(6912):206–210. doi:10.1038/nature01254.
    • (2002) Nature , vol.420 , Issue.6912 , pp. 206-210
    • Kitano, H.1
  • 34
    • 34548049053 scopus 로고    scopus 로고
    • Mathematical modeling of intracellular signaling pathways
    • E.Klipp, W.Liebermeister. Mathematical modeling of intracellular signaling pathways. BMC Neurosci. 2006;Suppl 7:S10. doi:10.1186/1471-2202-7-S1-S10.• This paper describes in detail the dynamic modeling and the simulation approaches of signal transduction pathways.
    • (2006) BMC Neurosci , vol.Suppl 7 , pp. S10
    • Klipp, E.1    Liebermeister, W.2
  • 35
    • 84924288734 scopus 로고    scopus 로고
    • Systems biology approaches for advancing the discovery of effective drug combinations
    • K.A.Ryall, A.C.Tan. Systems biology approaches for advancing the discovery of effective drug combinations. J Cheminform. 2015;7:7. doi:10.1186/s13321-015-0055-9.
    • (2015) J Cheminform , vol.7 , pp. 7
    • Ryall, K.A.1    Tan, A.C.2
  • 36
    • 65449129694 scopus 로고    scopus 로고
    • Tools of the trade: A survey of various agent based modeling platforms
    • C.Nikolai, G.Madey. Tools of the trade: A survey of various agent based modeling platforms. J Artif Societies Soc Simulation. 2009;12(2):2.
    • (2009) J Artif Societies Soc Simulation , vol.12 , Issue.2 , pp. 2
    • Nikolai, C.1    Madey, G.2
  • 37
    • 80054779529 scopus 로고    scopus 로고
    • SimB16: Modeling induced immune system response against B16-melanoma
    • F.Pappalardo, I.M.Forero, M.Pennisi, et al. SimB16: Modeling induced immune system response against B16-melanoma. PLoS ONE. 2011;6(10). doi:10.1371/journal.pone.0026523.•• The author has demonstrated the use of agent-based models for optimization of immunotherapy strategy against B16-melanoma in mice and tumor progression.
    • (2011) PLoS ONE , vol.6 , Issue.10
    • Pappalardo, F.1    Forero, I.M.2    Pennisi, M.3
  • 38
    • 78049276724 scopus 로고    scopus 로고
    • In silico modeling and in vivo efficacy of cancer-preventive vaccinations
    • A.Palladini, G.Nicoletti, F.Pappalardo, et al. In silico modeling and in vivo efficacy of cancer-preventive vaccinations. Cancer Res. 2010;70(20):7755–7763. doi:10.1158/0008-5472.CAN-10-0701.
    • (2010) Cancer Res , vol.70 , Issue.20 , pp. 7755-7763
    • Palladini, A.1    Nicoletti, G.2    Pappalardo, F.3
  • 39
    • 0032499741 scopus 로고    scopus 로고
    • Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets
    • Jun
    • P.J.Goss, J.Peccoud. Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets. Proc Natl Acad Sci USA. 1998 Jun 9;95(12):6750–6755.
    • (1998) Proc Natl Acad Sci USA , vol.95 , Issue.12 , pp. 6750-6755
    • Goss, P.J.1    Peccoud, J.2
  • 40
    • 77049084742 scopus 로고    scopus 로고
    • Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models
    • N.Jamshidi, B.Ø.Palsson. Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models. Biophys J. 2010;98(2):175–185. doi:10.1016/j.bpj.2009.09.064.
    • (2010) Biophys J , vol.98 , Issue.2 , pp. 175-185
    • Jamshidi, N.1    Palsson, B.Ø.2
  • 41
    • 84929501255 scopus 로고    scopus 로고
    • Insight into molecular dynamics simulation of BRAF(V600E) and potent novel inhibitors for malignant melanoma
    • H.-C.Tang, Y.-C.Chen. Insight into molecular dynamics simulation of BRAF(V600E) and potent novel inhibitors for malignant melanoma. Int J Nanomed. 2015;10:3131–3146. doi:10.2147/IJN.S80150.
    • (2015) Int J Nanomed , vol.10 , pp. 3131-3146
    • Tang, H.-C.1    Chen, Y.-C.2
  • 42
    • 33748557777 scopus 로고    scopus 로고
    • The statistical mechanics of complex signaling networks: nerve growth factor signaling
    • K.S.Brown, C.C.Hill, G.A.Calero, et al. The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys Biol. 2004;1(3–4):184–195. doi:10.1088/1478-3967/1/3/006.
    • (2004) Phys Biol , vol.1 , Issue.3-4 , pp. 184-195
    • Brown, K.S.1    Hill, C.C.2    Calero, G.A.3
  • 43
    • 84907588582 scopus 로고    scopus 로고
    • Data-derived modeling characterizes plasticity of MAPK signaling in melanoma
    • M.B.Faura, S.Massen, C.S.Falk, et al. Data-derived modeling characterizes plasticity of MAPK signaling in melanoma. PLoS Comput Biol. 2014;10(9):e1003795. doi:10.1371/journal.pcbi.1003795.
    • (2014) PLoS Comput Biol , vol.10 , Issue.9 , pp. e1003795
    • Faura, M.B.1    Massen, S.2    Falk, C.S.3
  • 44
    • 63249104448 scopus 로고    scopus 로고
    • Fuzzy modeling of signal transduction networks
    • Z.Huang, J.Hahn. Fuzzy modeling of signal transduction networks. Chem Eng Sci. 2009;64:2044–2056. doi:10.1016/j.ces.2009.01.041.•• This work proposes a fuzzy-modeling-based approach based upon qualitatively and quantitatively information to describe signal transduction networks.
    • (2009) Chem Eng Sci , vol.64 , pp. 2044-2056
    • Huang, Z.1    Hahn, J.2
  • 45
    • 84855838625 scopus 로고    scopus 로고
    • Multi-parametric analysis and modeling of relationships between mitochondrial morphology and apoptosis
    • Y.Reis, M.Bernardo-Faura, D.Richter, et al. Multi-parametric analysis and modeling of relationships between mitochondrial morphology and apoptosis. PLoS ONE. 2012;7(1):e28694. doi:10.1371/journal.pone.0028694.
    • (2012) PLoS ONE , vol.7 , Issue.1 , pp. e28694
    • Reis, Y.1    Bernardo-Faura, M.2    Richter, D.3
  • 46
    • 84879088712 scopus 로고    scopus 로고
    • Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis
    • J.Wang, L.Zhang, C.Jing, et al. Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis. Theor Biol Med Model. 2013;10(1):41. doi:10.1186/1742-4682-10-41.•• Multi-scale agent-based computational model used to study the response of melanoma cancer under combined drug treatment.
    • (2013) Theor Biol Med Model , vol.10 , Issue.1 , pp. 41
    • Wang, J.1    Zhang, L.2    Jing, C.3
  • 47
    • 34648846085 scopus 로고    scopus 로고
    • Computational model predicts effective delivery of 188-Re-labeled melanin-binding antibody to metastatic melanoma tumors with wide range of melanin concentrations
    • A.D.Schweitzer, V.Rakesh, E.Revskaya, et al. Computational model predicts effective delivery of 188-Re-labeled melanin-binding antibody to metastatic melanoma tumors with wide range of melanin concentrations. Melanoma Res. 2007;17(5):291–303. doi:10.1097/CMR.0b013e3282eeeae7.•• Use of a pharmacokinetic model to predict clinical outcomes.
    • (2007) Melanoma Res , vol.17 , Issue.5 , pp. 291-303
    • Schweitzer, A.D.1    Rakesh, V.2    Revskaya, E.3
  • 48
    • 84863635313 scopus 로고    scopus 로고
    • A mathematical model of immune-system-melanoma competition
    • M.Pennisi. A mathematical model of immune-system-melanoma competition. Comput Math Methods Med. 2012;850754. doi:10.1155/2012/850754.• Description of a model that reproduces the immune response entitled with combined administration of specific lymphocytes and specific antibodies.
    • (2012) Comput Math Methods Med , pp. 850754
    • Pennisi, M.1
  • 49
    • 54249155522 scopus 로고    scopus 로고
    • Network pharmacology: the next paradigm in drug discovery
    • A.L.Hopkins. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol. 2008;4:682–690. doi:10.1038/nchembio.118.
    • (2008) Nat Chem Biol , vol.4 , pp. 682-690
    • Hopkins, A.L.1
  • 50
    • 34047182529 scopus 로고    scopus 로고
    • PharmGKB: a logical home for knowledge relating genotype to drug response phenotype
    • R.B.Altman. PharmGKB: a logical home for knowledge relating genotype to drug response phenotype. Nat Genet. 2007;39:426–426. doi:10.1038/ng0407-426.
    • (2007) Nat Genet , vol.39 , pp. 426
    • Altman, R.B.1
  • 51
    • 0015936843 scopus 로고
    • Physicochemical aspects of drug-protein interactions: a general perspective
    • I.M.Klotz. Physicochemical aspects of drug-protein interactions: a general perspective. Ann N Y Acad Sci. 1973;226:18–35. doi:10.1111/nyas.1973.226.issue-1.
    • (1973) Ann N Y Acad Sci , vol.226 , pp. 18-35
    • Klotz, I.M.1
  • 52
    • 84892788440 scopus 로고    scopus 로고
    • Constraint-based models predict metabolic and associated cellular functions
    • A.Bordbar, J.M.Monk, Z.A.King, et al. Constraint-based models predict metabolic and associated cellular functions. Nat Rev Genet. 2014;15(2):107–120. doi:10.1038/nrg3643.
    • (2014) Nat Rev Genet , vol.15 , Issue.2 , pp. 107-120
    • Bordbar, A.1    Monk, J.M.2    King, Z.A.3
  • 53
    • 84855882587 scopus 로고    scopus 로고
    • Novel computational approaches to polypharmacology as a means to define responses to individual drugs
    • L.Xie, L.Xie, S.L.Kinnings, et al. Novel computational approaches to polypharmacology as a means to define responses to individual drugs. Annu Rev Pharmacol Toxicol. 2012;52:361–379. doi:10.1146/annurev-pharmtox-010611-134630.
    • (2012) Annu Rev Pharmacol Toxicol , vol.52 , pp. 361-379
    • Xie, L.1    Xie, L.2    Kinnings, S.L.3
  • 55
    • 36149001709 scopus 로고    scopus 로고
    • Computational methods for traditional Chinese medicine: a survey
    • S.Lukman, Y.He, S.C.Hui. Computational methods for traditional Chinese medicine: a survey. Comput Methods Programs Biomed. 2007;88(3):283–294. doi:10.1016/j.cmpb.2007.09.004.
    • (2007) Comput Methods Programs Biomed , vol.88 , Issue.3 , pp. 283-294
    • Lukman, S.1    He, Y.2    Hui, S.C.3
  • 56
    • 84858053438 scopus 로고    scopus 로고
    • Virtual screening data fusion using both structure- and ligand-based methods
    • F.Svensson, A.Karlén, C.Sköld. Virtual screening data fusion using both structure- and ligand-based methods. J Chem Inf Model. 2012;52(1):225–232. doi:10.1021/ci2004835.
    • (2012) J Chem Inf Model , vol.52 , Issue.1 , pp. 225-232
    • Svensson, F.1    Karlén, A.2    Sköld, C.3
  • 57
    • 77953707142 scopus 로고    scopus 로고
    • Advances in computational methods to predict the biological activity of compounds
    • C.Nantasenamat, C.Isarankura-Na-Ayudhya, V.Prachayasittikul. Advances in computational methods to predict the biological activity of compounds. Expert Opin Drug Discov. 2010;5(7):633–654. doi:10.1517/17460441.2010.492827.
    • (2010) Expert Opin Drug Discov , vol.5 , Issue.7 , pp. 633-654
    • Nantasenamat, C.1    Isarankura-Na-Ayudhya, C.2    Prachayasittikul, V.3
  • 58
    • 40149101561 scopus 로고    scopus 로고
    • Neuroarchitecture of peptidergic systems in the larval ventral ganglion of drosophila melanogaster
    • J.G.Santos, M.Vömel, R.Struck, et al. Neuroarchitecture of peptidergic systems in the larval ventral ganglion of drosophila melanogaster. PLoS ONE. 2007;2(8):e695. doi:10.1371/journal.pone.0000695.
    • (2007) PLoS ONE , vol.2 , Issue.8 , pp. e695
    • Santos, J.G.1    Vömel, M.2    Struck, R.3
  • 59
    • 17344362384 scopus 로고    scopus 로고
    • Prediction and validation of the distinct dynamics of transient and sustained ERK activation
    • S.Sasagawa, Y.Ozaki, K.Fujita, et al. Prediction and validation of the distinct dynamics of transient and sustained ERK activation. Nat Cell Biol. 2005;7(4):365–373. doi:10.1038/ncb1233.
    • (2005) Nat Cell Biol , vol.7 , Issue.4 , pp. 365-373
    • Sasagawa, S.1    Ozaki, Y.2    Fujita, K.3
  • 60
    • 34447498286 scopus 로고    scopus 로고
    • Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery
    • W.J.Bosl. Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery. BMC Syst Biol. 2007;1(1):13. doi:10.1186/1752-0509-1-13.
    • (2007) BMC Syst Biol , vol.1 , Issue.1 , pp. 13
    • Bosl, W.J.1
  • 61
    • 84856531076 scopus 로고    scopus 로고
    • Immune system modelling by top-down and bottom-up approaches
    • C.Bianca, M.Pennisi. Immune system modelling by top-down and bottom-up approaches. Int Math Forum. 2012;7(3):109–128.• A survey of immune system computational modeling that compares and analyzes some existing approaches and models.
    • (2012) Int Math Forum , vol.7 , Issue.3 , pp. 109-128
    • Bianca, C.1    Pennisi, M.2
  • 62
    • 70350337145 scopus 로고    scopus 로고
    • Agent based modeling of lung metastasis-immune system competition
    • M.Pennisi, F.Pappalardo, S.Motta. Agent based modeling of lung metastasis-immune system competition. Lecture Notes Comput Sci. 2009;5666:1–3.
    • (2009) Lecture Notes Comput Sci , vol.5666 , pp. 1-3
    • Pennisi, M.1    Pappalardo, F.2    Motta, S.3
  • 63
    • 70350430510 scopus 로고    scopus 로고
    • Agent based modeling of atherosclerosis: A concrete help in personalized treatments
    • F.Pappalardo, A.Cincotti, A.Motta, et al. Agent based modeling of atherosclerosis: A concrete help in personalized treatments. Lecture Notes Comput Sci. 2009;5755:386–396.
    • (2009) Lecture Notes Comput Sci , vol.5755 , pp. 386-396
    • Pappalardo, F.1    Cincotti, A.2    Motta, A.3
  • 64
    • 77957924286 scopus 로고    scopus 로고
    • Modeling the competition between lung metastases and the immune system using agents
    • M.Pennisi, F.Pappalardo, A.Palladini, et al. Modeling the competition between lung metastases and the immune system using agents. BMC Bioinform. 2010;11(Suppl 7):S13. doi:10.1186/1471-2105-11-S7-S13.
    • (2010) BMC Bioinform , vol.11 , pp. S13
    • Pennisi, M.1    Pappalardo, F.2    Palladini, A.3
  • 65
    • 84907442845 scopus 로고    scopus 로고
    • Mathematical modeling for novel cancer drug discovery and development
    • P.Zhang, V.Brusic. Mathematical modeling for novel cancer drug discovery and development. Expert Opin Drug Discov. 2014;9(10):1133–1150. doi:10.1517/17460441.2014.941351.
    • (2014) Expert Opin Drug Discov , vol.9 , Issue.10 , pp. 1133-1150
    • Zhang, P.1    Brusic, V.2
  • 66
    • 84886069496 scopus 로고    scopus 로고
    • Formalizing an integrative, multidisciplinary cancer therapy discovery workflow
    • M.F.McGuire, H.Enderling, D.I.Wallace, et al. Formalizing an integrative, multidisciplinary cancer therapy discovery workflow. Cancer Res. 2013;73(20):6111–6117. doi:10.1158/0008-5472.CAN-13-0310.
    • (2013) Cancer Res , vol.73 , Issue.20 , pp. 6111-6117
    • McGuire, M.F.1    Enderling, H.2    Wallace, D.I.3
  • 67
    • 84877865099 scopus 로고    scopus 로고
    • The combination of exposure-response and case-control analyses in regulatory decision making
    • J.Yang, H.Zhao, C.Garnett, et al. The combination of exposure-response and case-control analyses in regulatory decision making. J Clin Pharmacol. 2013;53:160–166. doi:10.1177/0091270012445206.
    • (2013) J Clin Pharmacol , vol.53 , pp. 160-166
    • Yang, J.1    Zhao, H.2    Garnett, C.3
  • 68
    • 76549090936 scopus 로고    scopus 로고
    • In silico designing and optimization of anti-breast cancer antibody mimetic oligopeptide targeting HER-2 in women
    • B.A.Akhoon, S.K.Gupta, V.Verma, et al. In silico designing and optimization of anti-breast cancer antibody mimetic oligopeptide targeting HER-2 in women. J Mol Graph Model. 2010;28(7):664–669. doi:10.1016/j.jmgm.2010.01.002.
    • (2010) J Mol Graph Model , vol.28 , Issue.7 , pp. 664-669
    • Akhoon, B.A.1    Gupta, S.K.2    Verma, V.3
  • 69
    • 55349130623 scopus 로고    scopus 로고
    • Efficacy of weekly docetaxel and bevacizumab in mesenchymal chondrosarcoma: a new theranostic method combining xenografted biopsies with a mathematical model
    • B.Gorelik, I.Ziv, R.Shohat, et al. Efficacy of weekly docetaxel and bevacizumab in mesenchymal chondrosarcoma: a new theranostic method combining xenografted biopsies with a mathematical model. Cancer Res. 2008;68:9033–9040. doi:10.1158/0008-5472.CAN-08-1723.
    • (2008) Cancer Res , vol.68 , pp. 9033-9040
    • Gorelik, B.1    Ziv, I.2    Shohat, R.3
  • 70
    • 84879298648 scopus 로고    scopus 로고
    • Combining heterogeneous data sources for accurate functional annotation of proteins
    • A.Sokolov, C.Funk, K.Graim, et al. Combining heterogeneous data sources for accurate functional annotation of proteins. BMC Bioinform. 2013;14(Suppl 3):S10.
    • (2013) BMC Bioinform , vol.14 , pp. S10
    • Sokolov, A.1    Funk, C.2    Graim, K.3
  • 71
    • 77954309042 scopus 로고    scopus 로고
    • Fast integration of heterogeneous data sources for predicting gene function with limited annotation
    • S.Mostafavi, Q.Morris. Fast integration of heterogeneous data sources for predicting gene function with limited annotation. Bioinformatics. 2010;26(14):1759–1765. doi:10.1093/bioinformatics/btq262.
    • (2010) Bioinformatics , vol.26 , Issue.14 , pp. 1759-1765
    • Mostafavi, S.1    Morris, Q.2
  • 72
    • 84952636655 scopus 로고    scopus 로고
    • Agent based modeling of the effects of potential treatments over the blood-brain barrier in multiple sclerosis
    • M.Pennisi, G.Russo, S.Motta, et al. Agent based modeling of the effects of potential treatments over the blood-brain barrier in multiple sclerosis. J Immunol Methods. 2015;427:6–12. doi:10.1016/j.jim.2015.08.014.
    • (2015) J Immunol Methods , vol.427 , pp. 6-12
    • Pennisi, M.1    Russo, G.2    Motta, S.3
  • 73
    • 2642570170 scopus 로고    scopus 로고
    • Moving towards individualized medicine with pharmacogenomics
    • W.E.Evans, M.V.Relling. Moving towards individualized medicine with pharmacogenomics. Nature. 2004;429(6990):464–468. doi:10.1038/nature02626.
    • (2004) Nature , vol.429 , Issue.6990 , pp. 464-468
    • Evans, W.E.1    Relling, M.V.2
  • 74
    • 9244226956 scopus 로고    scopus 로고
    • Role of pharmacoproteomics in the development of personalized medicine
    • K.K.Jain. Role of pharmacoproteomics in the development of personalized medicine. Pharmacogenomics. 2004;5(3):331–336. doi:10.1517/phgs.5.3.331.29830.
    • (2004) Pharmacogenomics , vol.5 , Issue.3 , pp. 331-336
    • Jain, K.K.1
  • 75
    • 43949084070 scopus 로고    scopus 로고
    • Howis mRNA expression predictive for protein expression? A correlation study on human circulating monocytes
    • Y.Guo, P.Xiao, S.Lei, et al. Howis mRNA expression predictive for protein expression? A correlation study on human circulating monocytes. Acta Biochim Biophys Sin (Shanghai). 2008;40(5):426–436.
    • (2008) Acta Biochim Biophys Sin (Shanghai) , vol.40 , Issue.5 , pp. 426-436
    • Guo, Y.1    Xiao, P.2    Lei, S.3
  • 76
    • 51349115095 scopus 로고    scopus 로고
    • Big data: the future of biocuration
    • D.Howe, M.Costanzo, P.Fey, et al. Big data: the future of biocuration. Nature. 2008;455(7209):47–50. doi:10.1038/455047a.
    • (2008) Nature , vol.455 , Issue.7209 , pp. 47-50
    • Howe, D.1    Costanzo, M.2    Fey, P.3
  • 77
    • 84899541625 scopus 로고    scopus 로고
    • Big data in biomedicine
    • F.F.Costa. Big data in biomedicine. Drug Discov Today. 2014;19(4):433–440. doi:10.1016/j.drudis.2013.10.012.
    • (2014) Drug Discov Today , vol.19 , Issue.4 , pp. 433-440
    • Costa, F.F.1
  • 78
    • 84889040707 scopus 로고    scopus 로고
    • Mathematical modeling of biological systems
    • S.Motta, F.Pappalardo. Mathematical modeling of biological systems. Brief Bioinform. 2013;14(4):411–422. doi:10.1093/bib/bbs061•• This work gives a good overview of mathematical/computational modeling approaches in systems biology.
    • (2013) Brief Bioinform , vol.14 , Issue.4 , pp. 411-422
    • Motta, S.1    Pappalardo, F.2
  • 79
    • 84903737191 scopus 로고    scopus 로고
    • Induction of T cell memory by a dendritic cell vaccine: a computational model
    • F.Pappalardo, M.Pennisi, A.Ricupito, et al. Induction of T cell memory by a dendritic cell vaccine: a computational model. Bioinformatics. 2014;30(13):1884–1891. doi:10.1093/bioinformatics/btu059.
    • (2014) Bioinformatics , vol.30 , Issue.13 , pp. 1884-1891
    • Pappalardo, F.1    Pennisi, M.2    Ricupito, A.3
  • 80
    • 84923314264 scopus 로고    scopus 로고
    • Computational modelling approaches to vaccinology
    • F.Pappalardo, D.Flower, G.Russo, et al. Computational modelling approaches to vaccinology. Pharmacol Res. 2015;92:40–45. doi:10.1016/j.phrs.2014.08.006.
    • (2015) Pharmacol Res , vol.92 , pp. 40-45
    • Pappalardo, F.1    Flower, D.2    Russo, G.3
  • 81
    • 35348891430 scopus 로고    scopus 로고
    • Network-based classification of breast cancer metastasis
    • H.-Y.Chuang, E.Lee, Y.-T.Liu, et al. Network-based classification of breast cancer metastasis. Mol Syst Biol. 2007;3:140. doi:10.1038/msb4100180.
    • (2007) Mol Syst Biol , vol.3 , pp. 140
    • Chuang, H.-Y.1    Lee, E.2    Liu, Y.-T.3
  • 82
    • 84890431436 scopus 로고    scopus 로고
    • Analyzing methods for path mining with applications in metabolomics
    • S.Tagore, N.Chowdhury, R.K.De. Analyzing methods for path mining with applications in metabolomics. Gene. 2014;534(2):125–138. doi:10.1016/j.gene.2013.10.056.
    • (2014) Gene , vol.534 , Issue.2 , pp. 125-138
    • Tagore, S.1    Chowdhury, N.2    De, R.K.3
  • 83
    • 79960490878 scopus 로고    scopus 로고
    • Multiscale cancer modeling
    • T.S.Deisboeck, Z.Wang, P.Macklin, et al. Multiscale cancer modeling. Annu Rev Biomed Eng. 2011;13:127–155. doi:10.1146/annurev-bioeng-071910-124729.
    • (2011) Annu Rev Biomed Eng , vol.13 , pp. 127-155
    • Deisboeck, T.S.1    Wang, Z.2    Macklin, P.3
  • 84
    • 84875218575 scopus 로고    scopus 로고
    • Modeling cancer immunotherapy: assessing the effects of lymphocytes on cancer cell growth and motility
    • R.A.Ramos, J.Zapata, C.A.Condat, et al. Modeling cancer immunotherapy: assessing the effects of lymphocytes on cancer cell growth and motility. Physica A. 2013;392:2415–2425. doi:10.1016/j.physa.2013.01.047.
    • (2013) Physica A , vol.392 , pp. 2415-2425
    • Ramos, R.A.1    Zapata, J.2    Condat, C.A.3
  • 85
    • 84856532770 scopus 로고    scopus 로고
    • Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition
    • D.Alemani, F.Pappalardo, M.Pennisi, et al. Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition. J Immunol Methods. 2012;376(1–2):55–68. doi:10.1016/j.jim.2011.11.009.
    • (2012) J Immunol Methods , vol.376 , Issue.1-2 , pp. 55-68
    • Alemani, D.1    Pappalardo, F.2    Pennisi, M.3
  • 86
    • 84929376895 scopus 로고    scopus 로고
    • Modeling biology spanning different scales: an open challenge
    • F.Castiglione, F.Pappalardo, C.Bianca, et al. Modeling biology spanning different scales: an open challenge. Biomed Res Int. 2014;2014. doi:10.1155/2014/902545.
    • (2014) Biomed Res Int , vol.2014
    • Castiglione, F.1    Pappalardo, F.2    Bianca, C.3


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