-
1
-
-
34250776126
-
Multiscale models for the growth of avascular tumors
-
Martins M.L., Ferreira S.C., Vilela M.J. Multiscale models for the growth of avascular tumors. Phys Life Rev 2007, 4:128-156.
-
(2007)
Phys Life Rev
, vol.4
, pp. 128-156
-
-
Martins, M.L.1
Ferreira, S.C.2
Vilela, M.J.3
-
2
-
-
0034677755
-
Mechanism-based target identification and drug discovery in cancer research
-
Gibbs J.B. Mechanism-based target identification and drug discovery in cancer research. Science 2000, 287:1969-1973.
-
(2000)
Science
, vol.287
, pp. 1969-1973
-
-
Gibbs, J.B.1
-
3
-
-
0033707946
-
Using Bayesian networks to analyze expression data
-
Friedman N., Linial M., Nachman I., Pe'er D. Using Bayesian networks to analyze expression data. J Comput Biol 2000, 7:601-620.
-
(2000)
J Comput Biol
, vol.7
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'er, D.4
-
4
-
-
0036901518
-
Modeling of signaling networks
-
Neves S.R., Iyengar R. Modeling of signaling networks. Bioessays 2002, 24:1110-1117.
-
(2002)
Bioessays
, vol.24
, pp. 1110-1117
-
-
Neves, S.R.1
Iyengar, R.2
-
5
-
-
13444278821
-
Reconstruction of cellular signalling networks and analysis of their properties
-
Papin J.A., Hunter T., Palsson B.O., Subramaniam S. Reconstruction of cellular signalling networks and analysis of their properties. Nat Rev Mol Cell Biol Bull 2005, 6:99-111.
-
(2005)
Nat Rev Mol Cell Biol Bull
, vol.6
, pp. 99-111
-
-
Papin, J.A.1
Hunter, T.2
Palsson, B.O.3
Subramaniam, S.4
-
6
-
-
80053629073
-
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
-
Tashkova K., Korosec P., Silc J., Todorovski L., Dzeroski S. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. BMC Syst Biol 2011, 5:159.
-
(2011)
BMC Syst Biol
, vol.5
, pp. 159
-
-
Tashkova, K.1
Korosec, P.2
Silc, J.3
Todorovski, L.4
Dzeroski, S.5
-
7
-
-
84881110695
-
Cancer systems biology in the genome sequencing era: Part 1. Dissecting and modeling of tumor clones and their networks
-
Wang E., Zou J., Zaman N., Beitel L.K., Trifiro M., Paliouras M. Cancer systems biology in the genome sequencing era: Part 1. Dissecting and modeling of tumor clones and their networks. Semin Cancer Biol 2013, 23:279-285.
-
(2013)
Semin Cancer Biol
, vol.23
, pp. 279-285
-
-
Wang, E.1
Zou, J.2
Zaman, N.3
Beitel, L.K.4
Trifiro, M.5
Paliouras, M.6
-
8
-
-
79251538674
-
Dynamic modeling and simulation of JNK and P38 kinase cascades with feedbacks and crosstalks
-
Sundaramurthy P., Gakkhar S. Dynamic modeling and simulation of JNK and P38 kinase cascades with feedbacks and crosstalks. IEEE Trans Nanobiosci 2010, 9:225-231.
-
(2010)
IEEE Trans Nanobiosci
, vol.9
, pp. 225-231
-
-
Sundaramurthy, P.1
Gakkhar, S.2
-
9
-
-
78650893581
-
Computational modeling of biological pathways by executable biology
-
Guerriero M.L., Heath J.K. Computational modeling of biological pathways by executable biology. Methods Enzymol 2011, 487:217-251.
-
(2011)
Methods Enzymol
, vol.487
, pp. 217-251
-
-
Guerriero, M.L.1
Heath, J.K.2
-
10
-
-
0036082392
-
The rise of computational biology
-
Noble D. The rise of computational biology. Nat Rev Mol Cell Biol 2002, 3:459-463.
-
(2002)
Nat Rev Mol Cell Biol
, vol.3
, pp. 459-463
-
-
Noble, D.1
-
11
-
-
74049122828
-
Cancer systems biology: a network modeling perspective
-
Kreeger P.K., Lauffenburger D.A. Cancer systems biology: a network modeling perspective. Carcinogenesis 2010, 31:2-8.
-
(2010)
Carcinogenesis
, vol.31
, pp. 2-8
-
-
Kreeger, P.K.1
Lauffenburger, D.A.2
-
13
-
-
84896689115
-
Executable Petri net models for the analysis of metabolic pathways
-
Genrich H., Küffner R., Voss K. Executable Petri net models for the analysis of metabolic pathways. J Softw Tools Technol Transfer 2001, 3:394-404.
-
(2001)
J Softw Tools Technol Transfer
, vol.3
, pp. 394-404
-
-
Genrich, H.1
Küffner, R.2
Voss, K.3
-
14
-
-
0345096675
-
Steady state analysis of metabolic pathways using Petri nets
-
Voss K., Heiner M., Koch I. Steady state analysis of metabolic pathways using Petri nets. In Silico Biol 2003, 3:367-387.
-
(2003)
In Silico Biol
, vol.3
, pp. 367-387
-
-
Voss, K.1
Heiner, M.2
Koch, I.3
-
15
-
-
16344381707
-
Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber
-
Koch I., Junker B.H., Heiner J.M. Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber. Bioinformatics 2005, 21:1219-1226.
-
(2005)
Bioinformatics
, vol.21
, pp. 1219-1226
-
-
Koch, I.1
Junker, B.H.2
Heiner, J.M.3
-
16
-
-
33845417184
-
Application of Petri net based analysis techniques to signal transduction pathways
-
Sackmann A., Heiner M., Koch I. Application of Petri net based analysis techniques to signal transduction pathways. BMC Bioinformatics 2006, 7:482.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 482
-
-
Sackmann, A.1
Heiner, M.2
Koch, I.3
-
17
-
-
41549085829
-
Petri net modelling of gene regulation of the Duchenne muscular dystrophy
-
Grunwald S., Speer A., Ackermann J., Koch I. Petri net modelling of gene regulation of the Duchenne muscular dystrophy. Biosystems 2008, 92:189-205.
-
(2008)
Biosystems
, vol.92
, pp. 189-205
-
-
Grunwald, S.1
Speer, A.2
Ackermann, J.3
Koch, I.4
-
18
-
-
84885938752
-
Petri nets and GRN models
-
Hershey, NY, S. Caragea Das, S.D. Welch, W.H. Hsu (Eds.)
-
Koch I. Petri nets and GRN models. Handbook of research on computational methodologies in gene regulatory networks 2010, 604-637. Hershey, NY. S. Caragea Das, S.D. Welch, W.H. Hsu (Eds.).
-
(2010)
Handbook of research on computational methodologies in gene regulatory networks
, pp. 604-637
-
-
Koch, I.1
-
19
-
-
33645306314
-
Time Petri nets for modeling and analysis of biochemical networks
-
Popova-Zeugmann L., Koch M.H.I. Time Petri nets for modeling and analysis of biochemical networks. Fundam Inform 2005, 67:149-162.
-
(2005)
Fundam Inform
, vol.67
, pp. 149-162
-
-
Popova-Zeugmann, L.1
Koch, M.H.I.2
-
20
-
-
84901418155
-
Fuzzy modeling
-
Springer, Berlin, Heidelberg, I. Koch, W. Reisig, F. Schreiber (Eds.)
-
Windhager L., Erhard F., Zimmer R. Fuzzy modeling. Modeling in systems biology: the Petri net approach 2011, 179-205. Springer, Berlin, Heidelberg. I. Koch, W. Reisig, F. Schreiber (Eds.).
-
(2011)
Modeling in systems biology: the Petri net approach
, pp. 179-205
-
-
Windhager, L.1
Erhard, F.2
Zimmer, R.3
-
21
-
-
0032499741
-
Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets
-
Peccoud P.J.E.G.J. Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets. Proc Natl Acad Sci U S A 1998, 95:6750-6755.
-
(1998)
Proc Natl Acad Sci U S A
, vol.95
, pp. 6750-6755
-
-
Peccoud, P.J.E.G.J.1
-
22
-
-
0042828946
-
Modeling transmission of directly transmitted infectious diseases using colored stochastic Petri nets
-
Bahi-Jaber N., Pontier D. Modeling transmission of directly transmitted infectious diseases using colored stochastic Petri nets. Math Biosci 2003, 185:1-13.
-
(2003)
Math Biosci
, vol.185
, pp. 1-13
-
-
Bahi-Jaber, N.1
Pontier, D.2
-
23
-
-
84901412751
-
Stochastic modeling
-
Springer, Berlin, Heidelberg, I. Koch, W. Reisig, F. Schreiber (Eds.)
-
Mura I. Stochastic modeling. Modeling in systems biology: the Petri net approach 2011, 121-152. Springer, Berlin, Heidelberg. I. Koch, W. Reisig, F. Schreiber (Eds.).
-
(2011)
Modeling in systems biology: the Petri net approach
, pp. 121-152
-
-
Mura, I.1
-
24
-
-
84901417753
-
Quantitative analysis
-
Springer, Berlin, Heidelberg, I. Koch, W. Reisig, F. Schreiber (Eds.)
-
Koch I., Ackermann J. Quantitative analysis. Modeling in systems biology: the Petri net approach 2011, 153-178. Springer, Berlin, Heidelberg. I. Koch, W. Reisig, F. Schreiber (Eds.).
-
(2011)
Modeling in systems biology: the Petri net approach
, pp. 153-178
-
-
Koch, I.1
Ackermann, J.2
-
25
-
-
0033648431
-
Hybrid Petri net representation of gene regulatory network
-
Matsuno H., Doi A., Nagasaki M., Miyano S. Hybrid Petri net representation of gene regulatory network. Pac Symp Biocomput 2000, 5:338-349.
-
(2000)
Pac Symp Biocomput
, vol.5
, pp. 338-349
-
-
Matsuno, H.1
Doi, A.2
Nagasaki, M.3
Miyano, S.4
-
26
-
-
33745213569
-
Simulation based validation of the p53 transcriptional activity with hybrid functional Petri net
-
Nagasaki M., Doi A., Matsuno H., Miyano S. Simulation based validation of the p53 transcriptional activity with hybrid functional Petri net. In Silico Biol 2006, 6.
-
(2006)
In Silico Biol
, vol.6
-
-
Nagasaki, M.1
Doi, A.2
Matsuno, H.3
Miyano, S.4
-
27
-
-
15944426084
-
Bayesian analysis of signaling networks governing embryonic stem cell fate decisions
-
Woolf P.J., Prudhomme W., Daheron L., Daley G.Q., Lauffenburger D.A. Bayesian analysis of signaling networks governing embryonic stem cell fate decisions. Bioinformatics 2005, 21:741-753.
-
(2005)
Bioinformatics
, vol.21
, pp. 741-753
-
-
Woolf, P.J.1
Prudhomme, W.2
Daheron, L.3
Daley, G.Q.4
Lauffenburger, D.A.5
-
28
-
-
4043054669
-
Bayesian network approach to cell signaling pathway modeling
-
Sachs K., Gifford D., Jaakkola T., Sorger P., Lauffenburger D.A. Bayesian network approach to cell signaling pathway modeling. Sci STKE 2002, 2002:pe38.
-
(2002)
Sci STKE
, vol.2002
, pp. pe38
-
-
Sachs, K.1
Gifford, D.2
Jaakkola, T.3
Sorger, P.4
Lauffenburger, D.A.5
-
29
-
-
34548459831
-
A primer on learning in Bayesian networks for computational biology
-
Needham C.J., Bradford J.R., Bulpitt A.J., Westhead D.R. A primer on learning in Bayesian networks for computational biology. PLoS Comput Biol 2007, 3:e129.
-
(2007)
PLoS Comput Biol
, vol.3
, pp. e129
-
-
Needham, C.J.1
Bradford, J.R.2
Bulpitt, A.J.3
Westhead, D.R.4
-
30
-
-
0003801963
-
-
Wolfram Media Inc., Champaign, Illinois
-
Wolfram S. A new kind of science 2002, Wolfram Media Inc., Champaign, Illinois.
-
(2002)
A new kind of science
-
-
Wolfram, S.1
-
31
-
-
9644308677
-
Randomness and pattern scale in the immune network: a cellular automaton approach
-
Addison-Wesley, Redwood City, CA
-
De Boer R.J., van der Laan J.D., Hogeweg P. Randomness and pattern scale in the immune network: a cellular automaton approach. Thinking about biology, SFI studies in the science of complexity 1992, Addison-Wesley, Redwood City, CA.
-
(1992)
Thinking about biology, SFI studies in the science of complexity
-
-
De Boer, R.J.1
van der Laan, J.D.2
Hogeweg, P.3
-
33
-
-
0031557195
-
Modelling morphogenesis: from single cells to crawling slugs
-
Savill N.J., Hogeweg P. Modelling morphogenesis: from single cells to crawling slugs. J Theor Biol 1997, 184:229-235.
-
(1997)
J Theor Biol
, vol.184
, pp. 229-235
-
-
Savill, N.J.1
Hogeweg, P.2
-
34
-
-
0037196385
-
Application of cellular automata to modelling competitive growths of two underwater species Chara aspera and Potamogeton pectinatus in Lake Veluwe
-
Chen Q., Mynett A.E., Minns A.W. Application of cellular automata to modelling competitive growths of two underwater species Chara aspera and Potamogeton pectinatus in Lake Veluwe. Ecol Modell 2002, 147(3):253-265.
-
(2002)
Ecol Modell
, vol.147
, Issue.3
, pp. 253-265
-
-
Chen, Q.1
Mynett, A.E.2
Minns, A.W.3
-
35
-
-
0030206983
-
A cellular automata model of enzyme kinetics
-
Kier L.B., Cheng C.K., Testa B., Carrupt P.A. A cellular automata model of enzyme kinetics. J Mol Graph 1996, 14:227-231.
-
(1996)
J Mol Graph
, vol.14
, pp. 227-231
-
-
Kier, L.B.1
Cheng, C.K.2
Testa, B.3
Carrupt, P.A.4
-
36
-
-
22144436680
-
Dynamic cellular automata: an alternative approach to cellular simulation
-
Wishart D.S., Yang R., Arndt D., Tang P., Cruz J. Dynamic cellular automata: an alternative approach to cellular simulation. In Silico Biol 2005, 5:139-161.
-
(2005)
In Silico Biol
, vol.5
, pp. 139-161
-
-
Wishart, D.S.1
Yang, R.2
Arndt, D.3
Tang, P.4
Cruz, J.5
-
38
-
-
0033904095
-
On agent-based software engineering
-
Jennings N.R. On agent-based software engineering. Artif Intell J 2000, 117:277-296.
-
(2000)
Artif Intell J
, vol.117
, pp. 277-296
-
-
Jennings, N.R.1
-
39
-
-
0036500993
-
Systems biology: a brief overview
-
Kitano H. Systems biology: a brief overview. Science 2002, 295:1662-1664.
-
(2002)
Science
, vol.295
, pp. 1662-1664
-
-
Kitano, H.1
-
40
-
-
33645963108
-
Modeling and simulation in signal transduction pathways: a systems biology approach
-
Suresh Babu C.V., Joo Song E., Yoo Y.S. Modeling and simulation in signal transduction pathways: a systems biology approach. Biochimie 2006, 88:277-283.
-
(2006)
Biochimie
, vol.88
, pp. 277-283
-
-
Suresh Babu, C.V.1
Joo Song, E.2
Yoo, Y.S.3
-
41
-
-
19344375343
-
The meaning of systems biology
-
Kirschner M.W. The meaning of systems biology. Cell 2005, 121:503-504.
-
(2005)
Cell
, vol.121
, pp. 503-504
-
-
Kirschner, M.W.1
-
42
-
-
29144435996
-
Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway
-
Orton R.J., Sturm O.E., Vyshemirsky V., Calder M., Gilbert D.R., Kolch W. Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway. Biochem J 2005, 392:249-261.
-
(2005)
Biochem J
, vol.392
, pp. 249-261
-
-
Orton, R.J.1
Sturm, O.E.2
Vyshemirsky, V.3
Calder, M.4
Gilbert, D.R.5
Kolch, W.6
-
43
-
-
84885676246
-
An overview of existing modeling tools making use of model checking in the analysis of biochemical networks
-
Carrillo M., Gongora P.A., Rosenblueth D.A. An overview of existing modeling tools making use of model checking in the analysis of biochemical networks. Front Plant Sci 2012, 3:155.
-
(2012)
Front Plant Sci
, vol.3
, pp. 155
-
-
Carrillo, M.1
Gongora, P.A.2
Rosenblueth, D.A.3
-
44
-
-
84868089503
-
Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression
-
Bidkhori G., Moeini A., Masoudi-Nejad A. Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression. PLoS One 2012, 7:e48004.
-
(2012)
PLoS One
, vol.7
, pp. e48004
-
-
Bidkhori, G.1
Moeini, A.2
Masoudi-Nejad, A.3
-
45
-
-
79959193525
-
Mathematical modeling and sensitivity analysis of the integrated TNFalpha-mediated apoptotic pathway for identifying key regulators
-
Koh G., Lee D.Y. Mathematical modeling and sensitivity analysis of the integrated TNFalpha-mediated apoptotic pathway for identifying key regulators. Comput Biol Med 2011, 41:512-528.
-
(2011)
Comput Biol Med
, vol.41
, pp. 512-528
-
-
Koh, G.1
Lee, D.Y.2
-
46
-
-
79960490878
-
Multiscale cancer modeling
-
Deisboeck T.S., Wang Z., Macklin P., Cristini V. Multiscale cancer modeling. Annu Rev Biomed Eng 2011, 13:127-155.
-
(2011)
Annu Rev Biomed Eng
, vol.13
, pp. 127-155
-
-
Deisboeck, T.S.1
Wang, Z.2
Macklin, P.3
Cristini, V.4
-
48
-
-
81455125452
-
Additive functions in Boolean models of gene regulatory network modules
-
Darabos C., Di Cunto F., Tomassini M., Moore J.H., Provero P., Giacobini M. Additive functions in Boolean models of gene regulatory network modules. PLoS One 2011, 6:e25110.
-
(2011)
PLoS One
, vol.6
, pp. e25110
-
-
Darabos, C.1
Di Cunto, F.2
Tomassini, M.3
Moore, J.H.4
Provero, P.5
Giacobini, M.6
-
49
-
-
79960325408
-
Networks for systems biology: conceptual connection of data and function
-
Emmert-Streib F., Dehmer M. Networks for systems biology: conceptual connection of data and function. IET Syst Biol 2011, 5:185-207.
-
(2011)
IET Syst Biol
, vol.5
, pp. 185-207
-
-
Emmert-Streib, F.1
Dehmer, M.2
-
50
-
-
84878668031
-
Models of signalling networks - what cell biologists can gain from them and give to them
-
Janes K.A., Lauffenburger D.A. Models of signalling networks - what cell biologists can gain from them and give to them. J Cell Sci 2013, 126:1913-1921.
-
(2013)
J Cell Sci
, vol.126
, pp. 1913-1921
-
-
Janes, K.A.1
Lauffenburger, D.A.2
-
51
-
-
34447625052
-
Cancer systems biology: exploring cancer-associated genes on cellular networks
-
Wang E., Lenferink A., O'Connor-McCourt M. Cancer systems biology: exploring cancer-associated genes on cellular networks. Cell Mol Life Sci 2007, 64:1752-1762.
-
(2007)
Cell Mol Life Sci
, vol.64
, pp. 1752-1762
-
-
Wang, E.1
Lenferink, A.2
O'Connor-McCourt, M.3
-
52
-
-
0035902141
-
The microenvironment of the tumour-host interface
-
Liotta L.A., Kohn E.C. The microenvironment of the tumour-host interface. Nature 2001, 411:375-379.
-
(2001)
Nature
, vol.411
, pp. 375-379
-
-
Liotta, L.A.1
Kohn, E.C.2
-
53
-
-
76149128357
-
Nonlinear modelling of cancer: bridging the gap between cells and tumours
-
Lowengrub J.S., Frieboes H.B., Jin F., Chuang Y.L., Li X., Macklin P., et al. Nonlinear modelling of cancer: bridging the gap between cells and tumours. Nonlinearity 2010, 23:R1-R9.
-
(2010)
Nonlinearity
, vol.23
, pp. R1-R9
-
-
Lowengrub, J.S.1
Frieboes, H.B.2
Jin, F.3
Chuang, Y.L.4
Li, X.5
Macklin, P.6
-
54
-
-
14644430326
-
Simulating the impact of a molecular 'decision-process' on cellular phenotype and multicellular patterns in brain tumors
-
Athale C., Mansury Y., Deisboeck T.S. Simulating the impact of a molecular 'decision-process' on cellular phenotype and multicellular patterns in brain tumors. J Theor Biol 2005, 233:469-481.
-
(2005)
J Theor Biol
, vol.233
, pp. 469-481
-
-
Athale, C.1
Mansury, Y.2
Deisboeck, T.S.3
-
55
-
-
64949085655
-
Modeling tumor cell migration: from microscopic to macroscopic models
-
Deroulers C., Aubert M., Badoual M., Grammaticos B. Modeling tumor cell migration: from microscopic to macroscopic models. Phys Rev E Stat Nonlin Soft Matter Phys 2009, 79:031917.
-
(2009)
Phys Rev E Stat Nonlin Soft Matter Phys
, vol.79
, pp. 031917
-
-
Deroulers, C.1
Aubert, M.2
Badoual, M.3
Grammaticos, B.4
-
56
-
-
84875915709
-
Cellular automata coupled with steady-state nutrient solution permit simulation of large-scale growth of tumours
-
Shrestha S.M., Joldes G.R., Wittek A., Miller K. Cellular automata coupled with steady-state nutrient solution permit simulation of large-scale growth of tumours. Int J Numer Method Biomed Eng 2013, 29:542-559.
-
(2013)
Int J Numer Method Biomed Eng
, vol.29
, pp. 542-559
-
-
Shrestha, S.M.1
Joldes, G.R.2
Wittek, A.3
Miller, K.4
-
57
-
-
71549172503
-
Modeling of growth factor-receptor systems from molecular-level protein interaction networks to whole-body compartment models
-
Wu F.T., Stefanini M.O., Mac Gabhann F., Popel A.S. Modeling of growth factor-receptor systems from molecular-level protein interaction networks to whole-body compartment models. Methods Enzymol 2009, 467:461-497.
-
(2009)
Methods Enzymol
, vol.467
, pp. 461-497
-
-
Wu, F.T.1
Stefanini, M.O.2
Mac Gabhann, F.3
Popel, A.S.4
-
58
-
-
0037840352
-
A computer algorithm describing the process of vessel formation and maturation, and its use for predicting the effects of anti-angiogenic and anti-maturation therapy on vascular tumor growth
-
Arakelyan L., Vainstein V., Agur Z. A computer algorithm describing the process of vessel formation and maturation, and its use for predicting the effects of anti-angiogenic and anti-maturation therapy on vascular tumor growth. Angiogenesis 2002, 5:203-214.
-
(2002)
Angiogenesis
, vol.5
, pp. 203-214
-
-
Arakelyan, L.1
Vainstein, V.2
Agur, Z.3
-
59
-
-
33748774664
-
A computational model of intracellular oxygen sensing by hypoxia-inducible factor HIF1 alpha
-
Qutub A.A., Popel A.S. A computational model of intracellular oxygen sensing by hypoxia-inducible factor HIF1 alpha. J Cell Sci 2006, 119:3467-3480.
-
(2006)
J Cell Sci
, vol.119
, pp. 3467-3480
-
-
Qutub, A.A.1
Popel, A.S.2
-
60
-
-
77952791119
-
Computational systems biology in cancer: modeling methods and applications
-
Materi W., Wishart D.S. Computational systems biology in cancer: modeling methods and applications. Gene Regul Syst Biol 2007, 1:91-110.
-
(2007)
Gene Regul Syst Biol
, vol.1
, pp. 91-110
-
-
Materi, W.1
Wishart, D.S.2
-
61
-
-
84891090406
-
Compartment model predicts VEGF secretion and investigates the effects of VEGF trap in tumor-bearing mice
-
Finley S.D., Dhar M., Popel A.S. Compartment model predicts VEGF secretion and investigates the effects of VEGF trap in tumor-bearing mice. Front Oncol 2013, 3:196.
-
(2013)
Front Oncol
, vol.3
, pp. 196
-
-
Finley, S.D.1
Dhar, M.2
Popel, A.S.3
-
62
-
-
84878877091
-
Effect of tumor microenvironment on tumor VEGF during anti-VEGF treatment: systems biology predictions
-
Finley S.D., Popel A.S. Effect of tumor microenvironment on tumor VEGF during anti-VEGF treatment: systems biology predictions. J Natl Cancer Inst 2013, 105:802-811.
-
(2013)
J Natl Cancer Inst
, vol.105
, pp. 802-811
-
-
Finley, S.D.1
Popel, A.S.2
-
63
-
-
0035266313
-
Up-regulation of Bcl-2 in microvascular endothelial cells enhances intratumoral angiogenesis and accelerates tumor growth
-
Nor J.E., Christensen J., Liu J., Peters M., Mooney D.J., Strieter R.M., et al. Up-regulation of Bcl-2 in microvascular endothelial cells enhances intratumoral angiogenesis and accelerates tumor growth. Cancer Res 2001, 61:2183-2188.
-
(2001)
Cancer Res
, vol.61
, pp. 2183-2188
-
-
Nor, J.E.1
Christensen, J.2
Liu, J.3
Peters, M.4
Mooney, D.J.5
Strieter, R.M.6
-
64
-
-
38049087140
-
Modeling the VEGF-Bcl-2-CXCL8 pathway in intratumoral angiogenesis
-
Jain H.V., Nor J.E., Jackson T.L. Modeling the VEGF-Bcl-2-CXCL8 pathway in intratumoral angiogenesis. Bull Math Biol 2008, 70:89-117.
-
(2008)
Bull Math Biol
, vol.70
, pp. 89-117
-
-
Jain, H.V.1
Nor, J.E.2
Jackson, T.L.3
-
65
-
-
33846859096
-
IGF1R signalling and its inhibition
-
Riedemann J., Macaulay V.M. IGF1R signalling and its inhibition. Endocr Relat Cancer 2006, 13(Suppl. 1):S33-S43.
-
(2006)
Endocr Relat Cancer
, vol.13
, pp. S33-S43
-
-
Riedemann, J.1
Macaulay, V.M.2
-
66
-
-
84855725908
-
Computational model of EGFR and IGF1R pathways in lung cancer: a systems biology approach for translational oncology
-
Bianconi F., Baldelli E., Ludovini V., Crino L., Flacco A., Valigi P. Computational model of EGFR and IGF1R pathways in lung cancer: a systems biology approach for translational oncology. Biotechnol Adv 2012, 30:142-153.
-
(2012)
Biotechnol Adv
, vol.30
, pp. 142-153
-
-
Bianconi, F.1
Baldelli, E.2
Ludovini, V.3
Crino, L.4
Flacco, A.5
Valigi, P.6
-
67
-
-
33748557777
-
The statistical mechanics of complex signaling networks: nerve growth factor signaling
-
Brown K.S., Hill C.C., Calero G.A., Myers C.R., Lee K.H., Sethna J.P., et al. The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys Biol 2004, 1:184-195.
-
(2004)
Phys Biol
, vol.1
, pp. 184-195
-
-
Brown, K.S.1
Hill, C.C.2
Calero, G.A.3
Myers, C.R.4
Lee, K.H.5
Sethna, J.P.6
-
68
-
-
70449513896
-
Computational modelling of cancerous mutations in the EGFR/ERK signalling pathway
-
Orton R.J., Adriaens M.E., Gormand A., Sturm O.E., Kolch W., Gilbert D.R. Computational modelling of cancerous mutations in the EGFR/ERK signalling pathway. BMC Syst Biol 2009, 3:100.
-
(2009)
BMC Syst Biol
, vol.3
, pp. 100
-
-
Orton, R.J.1
Adriaens, M.E.2
Gormand, A.3
Sturm, O.E.4
Kolch, W.5
Gilbert, D.R.6
-
69
-
-
84885845782
-
Signaling network assessment of mutations and copy number variations predict breast cancer subtype-specific drug targets
-
Zaman N., Li L., Jaramillo M.L., Sun Z., Tibiche C., Banville M., et al. Signaling network assessment of mutations and copy number variations predict breast cancer subtype-specific drug targets. Cell Rep 2013, 5:216-223.
-
(2013)
Cell Rep
, vol.5
, pp. 216-223
-
-
Zaman, N.1
Li, L.2
Jaramillo, M.L.3
Sun, Z.4
Tibiche, C.5
Banville, M.6
-
70
-
-
84890606259
-
Cellular Potts modeling of tumor growth, tumor invasion, and tumor evolution
-
Szabo A., Merks R.M. Cellular Potts modeling of tumor growth, tumor invasion, and tumor evolution. Front Oncol 2013, 3:87.
-
(2013)
Front Oncol
, vol.3
, pp. 87
-
-
Szabo, A.1
Merks, R.M.2
-
71
-
-
0142248836
-
Does tumor growth follow a "universal law"?
-
Guiot C., Degiorgis P.G., Delsanto P.P., Gabriele P., Deisboeck T.S. Does tumor growth follow a "universal law"?. J Theor Biol 2003, 225:147-151.
-
(2003)
J Theor Biol
, vol.225
, pp. 147-151
-
-
Guiot, C.1
Degiorgis, P.G.2
Delsanto, P.P.3
Gabriele, P.4
Deisboeck, T.S.5
-
72
-
-
36448970137
-
A multilevel approach to cancer growth modeling
-
Delsanto P.P., Condat C.A., Pugno N., Gliozzi A.S., Griffa M. A multilevel approach to cancer growth modeling. J Theor Biol 2008, 250:16-24.
-
(2008)
J Theor Biol
, vol.250
, pp. 16-24
-
-
Delsanto, P.P.1
Condat, C.A.2
Pugno, N.3
Gliozzi, A.S.4
Griffa, M.5
-
74
-
-
84876005514
-
An integrated computational/experimental model of lymphoma growth
-
Frieboes H.B., Smith B.R., Chuang Y.L., Ito K., Roettgers A.M., Gambhir S.S., et al. An integrated computational/experimental model of lymphoma growth. PLoS Comput Biol 2013, 9:e1003008.
-
(2013)
PLoS Comput Biol
, vol.9
, pp. e1003008
-
-
Frieboes, H.B.1
Smith, B.R.2
Chuang, Y.L.3
Ito, K.4
Roettgers, A.M.5
Gambhir, S.S.6
-
75
-
-
84879088712
-
Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis
-
Wang J., Zhang L., Jing C., Ye G., Wu H., Miao H., et al. Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis. Theor Biol Med Model 2013, 10:41.
-
(2013)
Theor Biol Med Model
, vol.10
, pp. 41
-
-
Wang, J.1
Zhang, L.2
Jing, C.3
Ye, G.4
Wu, H.5
Miao, H.6
-
76
-
-
84881368916
-
A cell-based model of extracellular-matrix-guided endothelial cell migration during angiogenesis
-
Daub J.T., Merks R.M. A cell-based model of extracellular-matrix-guided endothelial cell migration during angiogenesis. Bull Math Biol 2013, 75:1377-1399.
-
(2013)
Bull Math Biol
, vol.75
, pp. 1377-1399
-
-
Daub, J.T.1
Merks, R.M.2
-
77
-
-
84865477904
-
Multi-scale agent-based brain cancer modeling and prediction of TKI treatment response: incorporating EGFR signaling pathway and angiogenesis
-
Sun X., Zhang L., Tan H., Bao J., Strouthos C., Zhou X. Multi-scale agent-based brain cancer modeling and prediction of TKI treatment response: incorporating EGFR signaling pathway and angiogenesis. BMC Bioinformatics 2012, 13:218.
-
(2012)
BMC Bioinformatics
, vol.13
, pp. 218
-
-
Sun, X.1
Zhang, L.2
Tan, H.3
Bao, J.4
Strouthos, C.5
Zhou, X.6
-
78
-
-
0036595629
-
Epithelial-mesenchymal transitions in tumour progression
-
Thiery J.P. Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer 2002, 2:442-454.
-
(2002)
Nat Rev Cancer
, vol.2
, pp. 442-454
-
-
Thiery, J.P.1
-
79
-
-
11244250625
-
Modeling the effect of deregulated proliferation and apoptosis on the growth dynamics of epithelial cell populations in vitro
-
Galle J., Loeffler M., Drasdo D. Modeling the effect of deregulated proliferation and apoptosis on the growth dynamics of epithelial cell populations in vitro. Biophys J 2005, 88:62-75.
-
(2005)
Biophys J
, vol.88
, pp. 62-75
-
-
Galle, J.1
Loeffler, M.2
Drasdo, D.3
-
80
-
-
36048988253
-
Individual cell-based models of tumor-environment interactions: multiple effects of CD97 on tumor invasion
-
Galle J., Sittig D., Hanisch I., Wobus M., Wandel E., Loeffler M., et al. Individual cell-based models of tumor-environment interactions: multiple effects of CD97 on tumor invasion. Am J Pathol 2006, 169:1802-1811.
-
(2006)
Am J Pathol
, vol.169
, pp. 1802-1811
-
-
Galle, J.1
Sittig, D.2
Hanisch, I.3
Wobus, M.4
Wandel, E.5
Loeffler, M.6
-
81
-
-
4644335402
-
Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine
-
Weston A.D., Hood L. Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine. J Proteome Res 2004, 3(2):179-196.
-
(2004)
J Proteome Res
, vol.3
, Issue.2
, pp. 179-196
-
-
Weston, A.D.1
Hood, L.2
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