-
1
-
-
84862996501
-
De-meaning of metabolism.
-
Lazar, M. A., Birnbaum, M. J., De-meaning of metabolism. Science 2012, 336, 1651-1652.
-
(2012)
Science
, vol.336
, pp. 1651-1652
-
-
Lazar, M.A.1
Birnbaum, M.J.2
-
2
-
-
84858414020
-
Cellular metabolism and Disease: What do metabolic outliers teach us?
-
DeBerardinis, R. J., Thompson, C. B., Cellular metabolism and Disease: What do metabolic outliers teach us? Cell 2012, 148, 1132-1144.
-
(2012)
Cell
, vol.148
, pp. 1132-1144
-
-
DeBerardinis, R.J.1
Thompson, C.B.2
-
3
-
-
77949809397
-
Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk.
-
Malik, V. S., Popkin, B. M., Bray, G. A., Despres, J. P., Hu, F. B., Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010, 121, 1356-1364.
-
(2010)
Circulation
, vol.121
, pp. 1356-1364
-
-
Malik, V.S.1
Popkin, B.M.2
Bray, G.A.3
Despres, J.P.4
Hu, F.B.5
-
4
-
-
77957078371
-
Endoplasmic reticulum stress and inflammation in obesity and diabetes.
-
Hummasti, S., Hotamisligil, G. S., Endoplasmic reticulum stress and inflammation in obesity and diabetes. Circ. Res. 2010, 107, 579-591.
-
(2010)
Circ. Res.
, vol.107
, pp. 579-591
-
-
Hummasti, S.1
Hotamisligil, G.S.2
-
5
-
-
71149116560
-
Systems biology of lipid metabolism: from yeast to human.
-
Nielsen, J., Systems biology of lipid metabolism: from yeast to human. FEBS Lett. 2009, 583, 3905-3913.
-
(2009)
FEBS Lett.
, vol.583
, pp. 3905-3913
-
-
Nielsen, J.1
-
6
-
-
75149129569
-
A protocol for generating a high-quality genome-scale metabolic reconstruction.
-
Thiele, I., Palsson, B. O., A protocol for generating a high-quality genome-scale metabolic reconstruction. Nat. Protoc. 2010, 5, 93-121.
-
(2010)
Nat. Protoc.
, vol.5
, pp. 93-121
-
-
Thiele, I.1
Palsson, B.O.2
-
7
-
-
84855955467
-
Systems medicine and metabolic modelling.
-
Mardinoglu, A., Nielsen, J., Systems medicine and metabolic modelling. J. Intern. Med. 2012, 271, 142-154.
-
(2012)
J. Intern. Med.
, vol.271
, pp. 142-154
-
-
Mardinoglu, A.1
Nielsen, J.2
-
8
-
-
75749105082
-
Blueprint for antimicrobial hit discovery targeting metabolic networks.
-
Shen, Y., Liu, J., Estiu, G., Isin, B. et al., Blueprint for antimicrobial hit discovery targeting metabolic networks. Proc. Natl. Acad. Sci. USA 2010, 107, 1082-1087.
-
(2010)
Proc. Natl. Acad. Sci. USA
, vol.107
, pp. 1082-1087
-
-
Shen, Y.1
Liu, J.2
Estiu, G.3
Isin, B.4
-
9
-
-
78650373804
-
Network medicine: A network-based approach to human disease.
-
Barabasi, A. L., Gulbahce, N., Loscalzo, J., Network medicine: A network-based approach to human disease. Nat. Rev. Genet. 2011, 12, 56-68.
-
(2011)
Nat. Rev. Genet.
, vol.12
, pp. 56-68
-
-
Barabasi, A.L.1
Gulbahce, N.2
Loscalzo, J.3
-
10
-
-
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
-
11
-
-
9544253891
-
Genome-scale models of microbial cells: Evaluating the consequences of constraints.
-
Price, N. D., Reed, J. L., Palsson, B. O., Genome-scale models of microbial cells: Evaluating the consequences of constraints. Nat. Rev. Microbiol. 2004, 2, 886-897.
-
(2004)
Nat. Rev. Microbiol.
, vol.2
, pp. 886-897
-
-
Price, N.D.1
Reed, J.L.2
Palsson, B.O.3
-
12
-
-
84858439602
-
Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods.
-
Lewis, N. E., Nagarajan, H., Palsson, B. O., Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods. Nat. Rev. Microbiol. 2012, 10, 291-305.
-
(2012)
Nat. Rev. Microbiol.
, vol.10
, pp. 291-305
-
-
Lewis, N.E.1
Nagarajan, H.2
Palsson, B.O.3
-
13
-
-
33846910173
-
Global reconstruction of the human metabolic network based on genomic and bibliomic data.
-
Duarte, N. C., Becker, S. A., Jamshidi, N., Thiele, I. et al., Global reconstruction of the human metabolic network based on genomic and bibliomic data. Proc. Natl. Acad. Sci. USA 2007, 104, 1777-1782.
-
(2007)
Proc. Natl. Acad. Sci. USA
, vol.104
, pp. 1777-1782
-
-
Duarte, N.C.1
Becker, S.A.2
Jamshidi, N.3
Thiele, I.4
-
14
-
-
34548860112
-
The Edinburgh human metabolic network reconstruction and its functional analysis.
-
Ma, H., Sorokin, A., Mazein, A., Selkov, A. et al., The Edinburgh human metabolic network reconstruction and its functional analysis. Mol. Syst. Biol. 2007, 3, 135.
-
(2007)
Mol. Syst. Biol.
, vol.3
, pp. 135
-
-
Ma, H.1
Sorokin, A.2
Mazein, A.3
Selkov, A.4
-
15
-
-
77954791900
-
Compartmentalization of the Edinburgh human metabolic network.
-
Hao, T., Ma, H. W., Zhao, X. M., Goryanin, I., Compartmentalization of the Edinburgh human metabolic network. BMC Bioinformatics 2010, 11, 393.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 393
-
-
Hao, T.1
Ma, H.W.2
Zhao, X.M.3
Goryanin, I.4
-
16
-
-
75549090213
-
KEGG for representation and analysis of molecular networks involving diseases and drugs.
-
Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M., Hirakawa, M., KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res. 2010, 38, D355-D360.
-
(2010)
Nucleic Acids Res.
, vol.38
-
-
Kanehisa, M.1
Goto, S.2
Furumichi, M.3
Tanabe, M.4
Hirakawa, M.5
-
17
-
-
84863662483
-
Pornputtapong, N. , Reconstruction of genome-scale active metabolic metworks for 69 human cell types and 16 cancer types Using INIT.
-
Agren, R., Bordel, S., Mardinoglu, A., Pornputtapong, N. et al., Reconstruction of genome-scale active metabolic metworks for 69 human cell types and 16 cancer types Using INIT. PLOS Comput. Biol. 2012, 8, e1002518.
-
(2012)
PLOS Comput. Biol.
, vol.8
-
-
Agren, R.1
Bordel, S.2
Mardinoglu, A.3
-
18
-
-
84883787394
-
Integration of clinical data with a genome-scale metabolic model of the human adipocyte.
-
Mardinoglu, A., Agren, R., Kampf, C., Asplund, A. et al., Integration of clinical data with a genome-scale metabolic model of the human adipocyte. Mol. Syst. Biol. 2013, 9, 649.
-
(2013)
Mol. Syst. Biol.
, vol.9
, pp. 649
-
-
Mardinoglu, A.1
Agren, R.2
Kampf, C.3
Asplund, A.4
-
19
-
-
78651275182
-
Reactome: A database of reactions, pathways and biological processes.
-
Croft, D., O'Kelly, G., Wu, G. M., Haw, R. et al., Reactome: A database of reactions, pathways and biological processes. Nucleic Acids Res. 2011, 39, D691-D697.
-
(2011)
Nucleic Acids Res.
, vol.39
-
-
Croft, D.1
O'Kelly, G.2
Wu, G.M.3
Haw, R.4
-
20
-
-
77956407882
-
HepatoNet1: A comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology.
-
Gille, C., Bolling, C., Hoppe, A., Bulik, S. et al., HepatoNet1: A comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology. Mol. Syst. Biol. 2010, 6, 411.
-
(2010)
Mol. Syst. Biol.
, vol.6
, pp. 411
-
-
Gille, C.1
Bolling, C.2
Hoppe, A.3
Bulik, S.4
-
21
-
-
79959398473
-
Applications of mass spectrometry to lipids and membranes.
-
Harkewicz, R., Dennis, E. A., Applications of mass spectrometry to lipids and membranes. Ann. Rev. Biochem. 2010, 80, 301-325.
-
(2010)
Ann. Rev. Biochem.
, vol.80
, pp. 301-325
-
-
Harkewicz, R.1
Dennis, E.A.2
-
22
-
-
14844326483
-
Computational prediction of human metabolic pathways from the complete human genome.
-
Romero, P., Wagg, J., Green, M. L., Kaiser, D. et al., Computational prediction of human metabolic pathways from the complete human genome. Genome Biol. 2005, 6, R2.
-
(2005)
Genome Biol.
, vol.6
-
-
Romero, P.1
Wagg, J.2
Green, M.L.3
Kaiser, D.4
-
23
-
-
38549127678
-
ChEBI: A database and ontology for chemical entities of biological interest.
-
Degtyarenko, K., de Matos, P., Ennis, M., Hastings, J. et al., ChEBI: A database and ontology for chemical entities of biological interest. Nucleic Acids Res. 2008, 36, D344-350.
-
(2008)
Nucleic Acids Res.
, vol.36
-
-
Degtyarenko, K.1
de Matos, P.2
Ennis, M.3
Hastings, J.4
-
24
-
-
78651319979
-
Ongoing and future developments at the Universal Protein Resource.
-
Apweiler, R., Martin, M. J., O'Donovan, C. Magrane, M. et al., Ongoing and future developments at the Universal Protein Resource. Nucleic Acids Res. 2011, 39, D214-D219.
-
(2011)
Nucleic Acids Res.
, vol.39
-
-
Apweiler, R.1
Martin, M.J.2
O'Donovan, C.3
Magrane, M.4
-
25
-
-
33644873676
-
LMPD: Lipid maps proteome database.
-
Cotter, D., Maer, A., Guda, C., Saunders, B., Subramaniam, S., LMPD: Lipid maps proteome database. Nucleic Acids Res. 2006, 34, D507-D510.
-
(2006)
Nucleic Acids Res.
, vol.34
-
-
Cotter, D.1
Maer, A.2
Guda, C.3
Saunders, B.4
Subramaniam, S.5
-
26
-
-
78449277726
-
Creation of an antibody-based subcellular protein atlas.
-
Lundberg, E., Uhlen, M., Creation of an antibody-based subcellular protein atlas. Proteomics 2010, 10, 3984-3996.
-
(2010)
Proteomics
, vol.10
, pp. 3984-3996
-
-
Lundberg, E.1
Uhlen, M.2
-
27
-
-
34547676311
-
Optimization based automated curation of metabolic reconstructions.
-
Kumar, V. S., Dasika, M. S., Maranas, C. D., Optimization based automated curation of metabolic reconstructions. BMC Bioinformatics 2007, 8, 212.
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 212
-
-
Kumar, V.S.1
Dasika, M.S.2
Maranas, C.D.3
-
28
-
-
51349092391
-
Network-based prediction of human tissue-specific metabolism.
-
Shlomi, T., Cabili, M. N., Herrgard, M. J., Palsson, B. O., Ruppin, E., Network-based prediction of human tissue-specific metabolism. Nat. Biotechnol. 2008, 26, 1003-1010.
-
(2008)
Nat. Biotechnol.
, vol.26
, pp. 1003-1010
-
-
Shlomi, T.1
Cabili, M.N.2
Herrgard, M.J.3
Palsson, B.O.4
Ruppin, E.5
-
29
-
-
6044265058
-
Integration of gene expression data into genome-scale metabolic models.
-
Akesson, M., Forster, J., Nielsen, J., Integration of gene expression data into genome-scale metabolic models. Metab. Eng. 2004, 6, 285-293.
-
(2004)
Metab. Eng.
, vol.6
, pp. 285-293
-
-
Akesson, M.1
Forster, J.2
Nielsen, J.3
-
30
-
-
44949225040
-
Context-specific metabolic networks are consistent with experiments.
-
Becker, S. A., Palsson, B. O., Context-specific metabolic networks are consistent with experiments. PLOS Comput. Biol. 2008, 4, e1000082.
-
(2008)
PLOS Comput. Biol.
, vol.4
-
-
Becker, S.A.1
Palsson, B.O.2
-
31
-
-
77956417789
-
Computational reconstruction of tissue-specific metabolic models: Application to human liver metabolism.
-
Jerby, L., Shlomi, T., Ruppin, E., Computational reconstruction of tissue-specific metabolic models: Application to human liver metabolism. Mol. Syst. Biol. 2010, 6, 401.
-
(2010)
Mol. Syst. Biol.
, vol.6
, pp. 401
-
-
Jerby, L.1
Shlomi, T.2
Ruppin, E.3
-
32
-
-
79951536020
-
Functional integration of a metabolic network model and expression data without arbitrary thresholding.
-
Jensen, P. A., Papin, J. A., Functional integration of a metabolic network model and expression data without arbitrary thresholding. Bioinformatics 2011, 27, 541-547.
-
(2011)
Bioinformatics
, vol.27
, pp. 541-547
-
-
Jensen, P.A.1
Papin, J.A.2
-
33
-
-
78449291015
-
Predicting metabolic fluxes using gene expression differences as constraints.
-
van Berlo, R. J. P., de Ridder, D., Daran, J. M., Daran-Lapujade, P. A. S. et al., Predicting metabolic fluxes using gene expression differences as constraints. IEEE/ACM Trans. Comput. Biol. 2011, 8, 206-216.
-
(2011)
IEEE/ACM Trans. Comput. Biol.
, vol.8
, pp. 206-216
-
-
van Berlo, R.J.P.1
de Ridder, D.2
Daran, J.M.3
Daran-Lapujade, P.A.S.4
-
34
-
-
84863331725
-
Model-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation.
-
Bordbar, A., Mo, M. L., Nakayasu, E. S., Schrimpe-Rutledge, A. et al., Model-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation. Mol. Syst. Biol. 2012, 8, 558.
-
(2012)
Mol. Syst. Biol.
, vol.8
, pp. 558
-
-
Bordbar, A.1
Mo, M.L.2
Nakayasu, E.S.3
Schrimpe-Rutledge, A.4
-
35
-
-
84873093745
-
Mechanistic systems modeling to guide drug discovery and development.
-
Schmidt, B. J., Papin, J. A., Musante, C. J., Mechanistic systems modeling to guide drug discovery and development. Drug Discov. Today 2013, 18, 116-27.
-
(2013)
Drug Discov. Today
, vol.18
, pp. 116-127
-
-
Schmidt, B.J.1
Papin, J.A.2
Musante, C.J.3
-
36
-
-
11144358198
-
A gene atlas of the mouse and human protein-encoding transcriptomes.
-
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H. et al., A gene atlas of the mouse and human protein-encoding transcriptomes. Proc. Natl. Acad. Sci. USA 2004, 101, 6062-6067.
-
(2004)
Proc. Natl. Acad. Sci. USA
, vol.101
, pp. 6062-6067
-
-
Su, A.I.1
Wiltshire, T.2
Batalov, S.3
Lapp, H.4
-
37
-
-
33846088138
-
HMDB: The human metabolome database.
-
Wishart, D. S., Tzur, D., Knox, C., Eisner, R. et al., HMDB: The human metabolome database. Nucleic Acids Res. 2007, 35, D521-D526.
-
(2007)
Nucleic Acids Res.
, vol.35
-
-
Wishart, D.S.1
Tzur, D.2
Knox, C.3
Eisner, R.4
-
38
-
-
78049445175
-
Drug off-target effects predicted using structural analysis in the context of a metabolic network model.
-
Chang, R. L., Xie, L., Xie, L., Bourne, P. E., Palsson, B. O., Drug off-target effects predicted using structural analysis in the context of a metabolic network model. PLOS Comput. Biol. 2010, e1000938.
-
(2010)
PLOS Comput. Biol.
-
-
Chang, R.L.1
Xie, L.2
Xie, L.3
Bourne, P.E.4
Palsson, B.O.5
-
39
-
-
78650002545
-
Large-scale in silico modeling of metabolic interactions between cell types in the human brain.
-
Lewis, N. E., Schramm, G., Bordbar, A., Schellenberger, J. et al., Large-scale in silico modeling of metabolic interactions between cell types in the human brain. Nat. Biotechnol. 2010, 28, 1279-1285.
-
(2010)
Nat. Biotechnol.
, vol.28
, pp. 1279-1285
-
-
Lewis, N.E.1
Schramm, G.2
Bordbar, A.3
Schellenberger, J.4
-
40
-
-
77958537509
-
Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions.
-
Bordbar, A., Lewis, N. E., Schellenberger, J., Palsson, B. O., Jamshidi, N., Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Mol. Syst. Biol. 2010, 6, 422.
-
(2010)
Mol. Syst. Biol.
, vol.6
, pp. 422
-
-
Bordbar, A.1
Lewis, N.E.2
Schellenberger, J.3
Palsson, B.O.4
Jamshidi, N.5
-
41
-
-
84865432555
-
CardioNet: A human metabolic network suited for the study of cardiomyocyte metabolism.
-
Karlstaedt, A., Fliegner, D., Kararigas, G., Ruderisch, H. S. et al., CardioNet: A human metabolic network suited for the study of cardiomyocyte metabolism. BMC Syst. Biol. 2012, 6, 114.
-
(2012)
BMC Syst. Biol.
, vol.6
, pp. 114
-
-
Karlstaedt, A.1
Fliegner, D.2
Kararigas, G.3
Ruderisch, H.S.4
-
42
-
-
80054969621
-
A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology.
-
Bordbar, A., Feist, A. M., Usaite-Black, R., Woodcock, J. et al., A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology. BMC Syst. Biol. 2011, 180.
-
(2011)
BMC Syst. Biol.
, pp. 180
-
-
Bordbar, A.1
Feist, A.M.2
Usaite-Black, R.3
Woodcock, J.4
-
43
-
-
79952284127
-
Hallmarks of cancer: The next generation.
-
Hanahan, D., Weinberg, R. A., Hallmarks of cancer: The next generation. Cell 2011, 144, 646-674.
-
(2011)
Cell
, vol.144
, pp. 646-674
-
-
Hanahan, D.1
Weinberg, R.A.2
-
44
-
-
79251517382
-
Regulation of cancer cell metabolism.
-
Cairns, R. A., Harris, I. S., Mak, T. W., Regulation of cancer cell metabolism. Nat. Rev. Cancer 2011, 11, 85-95.
-
(2011)
Nat. Rev. Cancer
, vol.11
, pp. 85-95
-
-
Cairns, R.A.1
Harris, I.S.2
Mak, T.W.3
-
45
-
-
84863661689
-
Therapeutic targets in cancer cell metabolism and autophagy.
-
Cheong, H., Lu, C., Lindsten, T., Thompson, C. B., Therapeutic targets in cancer cell metabolism and autophagy. Nat. Biotechnol. 2012, 30, 671-678.
-
(2012)
Nat. Biotechnol.
, vol.30
, pp. 671-678
-
-
Cheong, H.1
Lu, C.2
Lindsten, T.3
Thompson, C.B.4
-
46
-
-
84867554554
-
Predicting drug targets and biomarkers of cancer via genome-scale metabolic modeling.
-
Jerby, L., Ruppin, E., Predicting drug targets and biomarkers of cancer via genome-scale metabolic modeling. Clin. Cancer Res. 2012, 18, 5572-5584.
-
(2012)
Clin. Cancer Res.
, vol.18
, pp. 5572-5584
-
-
Jerby, L.1
Ruppin, E.2
-
47
-
-
84861422298
-
Cancer. Systems biology, metabolomics, and cancer metabolism.
-
Tomita, M., Kami, K., Cancer. Systems biology, metabolomics, and cancer metabolism. Science 2012, 336, 990-991.
-
(2012)
Science
, vol.336
, pp. 990-991
-
-
Tomita, M.1
Kami, K.2
-
48
-
-
79959621970
-
Gottlieb, E. , Predicting selective drug targets in cancer through metabolic networks.
-
Folger, O., Jerby, L., Frezza, C., Gottlieb, E. et al., Predicting selective drug targets in cancer through metabolic networks. Mol. Syst. Biol. 2011, 501.
-
(2011)
Mol. Syst. Biol.
, pp. 501
-
-
Folger, O.1
Jerby, L.2
Frezza, C.3
-
49
-
-
80052580351
-
Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase.
-
Frezza, C., Zheng, L., Folger, O., Rajagopalan, K. N. et al., Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase. Nature 2011, 477, 225-U132.
-
(2011)
Nature
, vol.477
-
-
Frezza, C.1
Zheng, L.2
Folger, O.3
Rajagopalan, K.N.4
-
50
-
-
84867527044
-
Metabolic associations of reduced proliferation and oxidative stress in advanced breast cancer.
-
Jerby, L., Wolf, L., Denkert, C., Stein, G. Y. et al., Metabolic associations of reduced proliferation and oxidative stress in advanced breast cancer. Cancer Res. 2012, 72, 5712-5720.
-
(2012)
Cancer Res.
, vol.72
, pp. 5712-5720
-
-
Jerby, L.1
Wolf, L.2
Denkert, C.3
Stein, G.Y.4
-
51
-
-
14544268137
-
Uncovering transcriptional regulation of metabolism by using metabolic network topology.
-
Patil, K. R., Nielsen, J., Uncovering transcriptional regulation of metabolism by using metabolic network topology. Proc. Natl. Acad. Sci. USA 2005, 102, 2685-2689.
-
(2005)
Proc. Natl. Acad. Sci. USA
, vol.102
, pp. 2685-2689
-
-
Patil, K.R.1
Nielsen, J.2
-
52
-
-
77958460555
-
The challenges of integrating multi-omic data sets.
-
Palsson, B., Zengler, K., The challenges of integrating multi-omic data sets. Nat. Chem. Biol. 2010, 6, 787-789.
-
(2010)
Nat. Chem. Biol.
, vol.6
, pp. 787-789
-
-
Palsson, B.1
Zengler, K.2
-
53
-
-
77954197778
-
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model.
-
Yizhak, K., Benyamini, T., Liebermeister, W., Ruppin, E., Shlomi, T., Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinformatics 2010, 26, i255-i260.
-
(2010)
Bioinformatics
, vol.26
-
-
Yizhak, K.1
Benyamini, T.2
Liebermeister, W.3
Ruppin, E.4
Shlomi, T.5
-
54
-
-
84856094560
-
Differential network biology.
-
Ideker, T., Krogan, N. J., Differential network biology. Mol. Syst. Biol. 2012, 8, 565.
-
(2012)
Mol. Syst. Biol.
, vol.8
, pp. 565
-
-
Ideker, T.1
Krogan, N.J.2
-
55
-
-
71149117622
-
Metabolic systems biology.
-
Palsson, B., Metabolic systems biology. FEBS Lett. 2009, 583, 3900-3904.
-
(2009)
FEBS Lett.
, vol.583
, pp. 3900-3904
-
-
Palsson, B.1
-
56
-
-
0344824417
-
Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network.
-
Famili, I., Forster, J., Nielson, J., Palsson, B. O., Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network. Proc. Natl. Acad. Sci. USA 2003, 100, 13134-13139.
-
(2003)
Proc. Natl. Acad. Sci. USA
, vol.100
, pp. 13134-13139
-
-
Famili, I.1
Forster, J.2
Nielson, J.3
Palsson, B.O.4
-
57
-
-
84866487453
-
Integration of expression data in genome-scale metabolic network reconstructions.
-
Blazier, A. S., Papin, J. A., Integration of expression data in genome-scale metabolic network reconstructions. Front. Physiol. 2012, 3, 299.
-
(2012)
Front. Physiol.
, vol.3
, pp. 299
-
-
Blazier, A.S.1
Papin, J.A.2
-
58
-
-
77749320898
-
What is flux balance analysis?
-
Orth, J. D., Thiele, I., Palsson, B. O., What is flux balance analysis? Nat. Biotechnol. 2010, 28, 245-248.
-
(2010)
Nat. Biotechnol.
, vol.28
, pp. 245-248
-
-
Orth, J.D.1
Thiele, I.2
Palsson, B.O.3
-
59
-
-
34447523907
-
Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli.
-
Schuetz, R., Kuepfer, L., Sauer, U., Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli. Mol. Syst. Biol. 2007, 119.
-
(2007)
Mol. Syst. Biol.
, pp. 119
-
-
Schuetz, R.1
Kuepfer, L.2
Sauer, U.3
-
60
-
-
45149111660
-
The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.
-
Feist, A. M., Palsson, B. O., The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli. Nat. Biotechnol. 2008, 26, 659-667.
-
(2008)
Nat. Biotechnol.
, vol.26
, pp. 659-667
-
-
Feist, A.M.1
Palsson, B.O.2
-
61
-
-
33846061120
-
Metabolic networks in motion: C-13-based flux analysis.
-
Sauer, U., Metabolic networks in motion: C-13-based flux analysis. Mol. Syst. Biol. 2006, 2, 62.
-
(2006)
Mol. Syst. Biol.
, vol.2
, pp. 62
-
-
Sauer, U.1
-
62
-
-
84861420588
-
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.
-
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N. et al., Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation. Science 2012, 336, 1040-1044.
-
(2012)
Science
, vol.336
, pp. 1040-1044
-
-
Jain, M.1
Nilsson, R.2
Sharma, S.3
Madhusudhan, N.4
-
63
-
-
70449519259
-
Evaluation of C-13 isotopic tracers for metabolic flux analysis in mammalian cells.
-
Metallo, C. M., Walther, J. L., Stephanopoulos, G., Evaluation of C-13 isotopic tracers for metabolic flux analysis in mammalian cells. J. Biotechnol. 2009, 144, 167-174.
-
(2009)
J. Biotechnol.
, vol.144
, pp. 167-174
-
-
Metallo, C.M.1
Walther, J.L.2
Stephanopoulos, G.3
-
64
-
-
84862777903
-
Optimization of C-13 isotopic tracers for metabolic flux analysis in mammalian cells.
-
Walther, J. L., Metallo, C. M., Zhang, J., Stephanopoulos, G., Optimization of C-13 isotopic tracers for metabolic flux analysis in mammalian cells. Metab. Eng. 2012, 14, 162-171.
-
(2012)
Metab. Eng.
, vol.14
, pp. 162-171
-
-
Walther, J.L.1
Metallo, C.M.2
Zhang, J.3
Stephanopoulos, G.4
-
65
-
-
78049304837
-
Sampling the solution space in genome-scale metabolic networks reveals transcriptional regulation in key enzymes.
-
Bordel, S., Agren, R., Nielsen, J., Sampling the solution space in genome-scale metabolic networks reveals transcriptional regulation in key enzymes. PLOS Comput. Biol. 2010, 6, e1000859.
-
(2010)
PLOS Comput. Biol.
, vol.6
-
-
Bordel, S.1
Agren, R.2
Nielsen, J.3
-
66
-
-
33749135705
-
Systems biology as a foundation for genome-scale synthetic biology.
-
Barrett, C. L., Kim, T. Y., Kim, H. U., Palsson, B. O., Lee, S. Y., Systems biology as a foundation for genome-scale synthetic biology. Curr. Opin. Biotech. 2006, 17, 488-492.
-
(2006)
Curr. Opin. Biotech.
, vol.17
, pp. 488-492
-
-
Barrett, C.L.1
Kim, T.Y.2
Kim, H.U.3
Palsson, B.O.4
Lee, S.Y.5
-
67
-
-
0347506028
-
It is all about metabolic fluxes.
-
Nielsen, J., It is all about metabolic fluxes. J. Bacteriol. 2003, 185, 7031-7035.
-
(2003)
J. Bacteriol.
, vol.185
, pp. 7031-7035
-
-
Nielsen, J.1
-
68
-
-
84858604270
-
Metabolic reprogramming: A cancer hallmark even Warburg did not anticipate.
-
Ward, P. S., Thompson, C. B., Metabolic reprogramming: A cancer hallmark even Warburg did not anticipate. Cancer Cell 2012, 21, 297-308.
-
(2012)
Cancer Cell
, vol.21
, pp. 297-308
-
-
Ward, P.S.1
Thompson, C.B.2
-
69
-
-
79959927716
-
Enzymatic features of the glucose metabolism in tumor cells.
-
Herling, A., Konig, M., Bulik, S., Holzhutter, H. G., Enzymatic features of the glucose metabolism in tumor cells. FEBS J. 2011, 278, 2436-2459.
-
(2011)
FEBS J.
, vol.278
, pp. 2436-2459
-
-
Herling, A.1
Konig, M.2
Bulik, S.3
Holzhutter, H.G.4
-
70
-
-
33751356224
-
Systems biology, metabolic modelling and metabolomics in drug discovery and development.
-
Kell, D. B., Systems biology, metabolic modelling and metabolomics in drug discovery and development. Drug Discov. Today 2006, 11, 1085-1092.
-
(2006)
Drug Discov. Today
, vol.11
, pp. 1085-1092
-
-
Kell, D.B.1
-
71
-
-
80155143971
-
Bioinformatic-driven search for metabolic biomarkers in disease.
-
Baumgartner, C., Osl, M., Netzer, M., Baumgartner, D., Bioinformatic-driven search for metabolic biomarkers in disease. J. Clin. Bioinform. 2011, 1, 2.
-
(2011)
J. Clin. Bioinform.
, vol.1
, pp. 2
-
-
Baumgartner, C.1
Osl, M.2
Netzer, M.3
Baumgartner, D.4
-
72
-
-
45949108082
-
The role of metabolic biomarkers in drug toxicity studies.
-
Schnackenberg, L. K., Beger, R. D., The role of metabolic biomarkers in drug toxicity studies. Toxicol. Mech. Meth. 2008, 18, 301-311.
-
(2008)
Toxicol. Mech. Meth.
, vol.18
, pp. 301-311
-
-
Schnackenberg, L.K.1
Beger, R.D.2
-
73
-
-
84867911343
-
Biomarkers and immune-modulating therapies for Type 2 diabetes.
-
Brooks-Worrell, B., Narla, R., Palmer, J. P., Biomarkers and immune-modulating therapies for Type 2 diabetes. Trends Immunol. 2012, 33, 546-553.
-
(2012)
Trends Immunol.
, vol.33
, pp. 546-553
-
-
Brooks-Worrell, B.1
Narla, R.2
Palmer, J.P.3
-
74
-
-
66249132328
-
Predicting metabolic biomarkers of human inborn errors of metabolism.
-
Shlomi, T., Cabili, M. N., Ruppin, E., Predicting metabolic biomarkers of human inborn errors of metabolism. Mol. Syst. Biol. 2009, 5.
-
(2009)
Mol. Syst. Biol.
, vol.5
-
-
Shlomi, T.1
Cabili, M.N.2
Ruppin, E.3
-
75
-
-
80052526020
-
Plasma free amino acid profiling of five types of cancer patients and its application for early detection.
-
Miyagi, Y., Higashiyama, M., Gochi, A., Akaike, M. et al., Plasma free amino acid profiling of five types of cancer patients and its application for early detection. PLOS One 2011, 6, e24143.
-
(2011)
PLOS One
, vol.6
-
-
Miyagi, Y.1
Higashiyama, M.2
Gochi, A.3
Akaike, M.4
-
76
-
-
0037059054
-
Biliverdin reductase: A major physiologic cytoprotectant.
-
Baranano, D. E., Rao, M., Ferris, C. D., Snyder, S. H., Biliverdin reductase: A major physiologic cytoprotectant. Proc. Natl. Acad. Sci. USA 2002, 99, 16093-16098.
-
(2002)
Proc. Natl. Acad. Sci. USA
, vol.99
, pp. 16093-16098
-
-
Baranano, D.E.1
Rao, M.2
Ferris, C.D.3
Snyder, S.H.4
-
77
-
-
84864813894
-
Molecular signatures from omics data: From chaos to consensus.
-
Sung, J. Y., Wang, Y. L., Chandrasekaran, S., Witten, D. M., Price, N. D., Molecular signatures from omics data: From chaos to consensus. Biotechnol. J. 2012, 7, 946-957.
-
(2012)
Biotechnol. J.
, vol.7
, pp. 946-957
-
-
Sung, J.Y.1
Wang, Y.L.2
Chandrasekaran, S.3
Witten, D.M.4
Price, N.D.5
-
78
-
-
84864818817
-
Revolutionizing medicine in the 21st century through systems approaches.
-
Hood, L., Balling, R., Auffray, C., Revolutionizing medicine in the 21st century through systems approaches. Biotechnol. J. 2012, 7, 992-1001.
-
(2012)
Biotechnol. J.
, vol.7
, pp. 992-1001
-
-
Hood, L.1
Balling, R.2
Auffray, C.3
-
79
-
-
62549110855
-
Personalizing medicine: A systems biology perspective.
-
Deisboeck, T. S., Personalizing medicine: A systems biology perspective. Mol. Syst. Biol. 2009, 5, 249.
-
(2009)
Mol. Syst. Biol.
, vol.5
, pp. 249
-
-
Deisboeck, T.S.1
-
80
-
-
67651152853
-
Individuality and epigenetics in obesity.
-
Campion, J., Milagro, F. I., Martinez, J. A., Individuality and epigenetics in obesity. Obes. Rev. 2009, 10, 383-392.
-
(2009)
Obes. Rev.
, vol.10
, pp. 383-392
-
-
Campion, J.1
Milagro, F.I.2
Martinez, J.A.3
-
81
-
-
84864807599
-
Personalized health care: From theory to practice.
-
Snyderman, R., Personalized health care: From theory to practice. Biotechnol. J. 2012, 7, 973-979.
-
(2012)
Biotechnol. J.
, vol.7
, pp. 973-979
-
-
Snyderman, R.1
-
82
-
-
84855929701
-
Systems cancer medicine: Towards realization of predictive, preventive, personalized and participatory (P4) medicine.
-
Tian, Q., Price, N. D., Hood, L., Systems cancer medicine: Towards realization of predictive, preventive, personalized and participatory (P4) medicine. J. Intern. Med. 2012, 271, 111-121.
-
(2012)
J. Intern. Med.
, vol.271
, pp. 111-121
-
-
Tian, Q.1
Price, N.D.2
Hood, L.3
-
83
-
-
84855933234
-
Translational and systems medicine introduction.
-
Nielsen, J., Translational and systems medicine introduction. J. Intern. Med. 2012, 271, 108-110.
-
(2012)
J. Intern. Med.
, vol.271
, pp. 108-110
-
-
Nielsen, J.1
-
84
-
-
84868112856
-
Integrating cellular metabolism into a multiscale whole-body model.
-
Krauss, M., Schaller, S., Borchers, S., Findeisen, R. et al., Integrating cellular metabolism into a multiscale whole-body model. PLOSComput. Biol. 2012, 8, e1002750.
-
(2012)
PLOSComput. Biol.
, vol.8
-
-
Krauss, M.1
Schaller, S.2
Borchers, S.3
Findeisen, R.4
-
85
-
-
0030819215
-
Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling.
-
Meibohm, B., Derendorf, H., Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling. Int. J. Clin. Pharm. Th. 1997, 35, 401-413.
-
(1997)
Int. J. Clin. Pharm. Th.
, vol.35
, pp. 401-413
-
-
Meibohm, B.1
Derendorf, H.2
-
86
-
-
78649736009
-
PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals.
-
Bois, F. Y., Jamei, M., Clewell, H. J., PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals. Toxicology 2010, 278, 256-267.
-
(2010)
Toxicology
, vol.278
, pp. 256-267
-
-
Bois, F.Y.1
Jamei, M.2
Clewell, H.J.3
-
87
-
-
79951765993
-
Physiologically-based [harmacokinetics in drug development and regulatory science.
-
Rowland, M., Peck, C., Tucker, G., Physiologically-based [harmacokinetics in drug development and regulatory science. Ann. Rev. Pharmacol. 2011, 51, 45-73.
-
(2011)
Ann. Rev. Pharmacol.
, vol.51
, pp. 45-73
-
-
Rowland, M.1
Peck, C.2
Tucker, G.3
-
88
-
-
79956157487
-
Prospects for systems biology and modeling of the gut microbiome.
-
Karlsson, F. H., Nookaew, I., Petranovic, D., Nielsen, J., Prospects for systems biology and modeling of the gut microbiome. Trends Biotechnol. 2011, 29, 251-8.
-
(2011)
Trends Biotechnol.
, vol.29
, pp. 251-258
-
-
Karlsson, F.H.1
Nookaew, I.2
Petranovic, D.3
Nielsen, J.4
-
89
-
-
79953731940
-
A closer look at bacteroides: Phylogenetic relationship and genomic implications of a life in the human gut.
-
Karlsson, F. H., Ussery, D. W., Nielsen, J., Nookaew, I., A closer look at bacteroides: Phylogenetic relationship and genomic implications of a life in the human gut. Microb. Ecol. 2011, 61, 473-485.
-
(2011)
Microb. Ecol.
, vol.61
, pp. 473-485
-
-
Karlsson, F.H.1
Ussery, D.W.2
Nielsen, J.3
Nookaew, I.4
-
90
-
-
84871814687
-
Symptomatic atherosclerosis is associated with an altered gut metagenome.
-
Karlsson, F. H., Fak, F., Nookaew, I., Tremaroli, V. et al., Symptomatic atherosclerosis is associated with an altered gut metagenome. Nat. Commun. 2012, 3, 1245.
-
(2012)
Nat. Commun.
, vol.3
, pp. 1245
-
-
Karlsson, F.H.1
Fak, F.2
Nookaew, I.3
Tremaroli, V.4
-
91
-
-
84867074831
-
A metagenome-wide association study of gut microbiota in type 2 diabetes.
-
Qin, J. J., Li, Y. R., Cai, Z. M., Li, S. H. et al., A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 2012, 490, 55-60.
-
(2012)
Nature
, vol.490
, pp. 55-60
-
-
Qin, J.J.1
Li, Y.R.2
Cai, Z.M.3
Li, S.H.4
-
92
-
-
33744804299
-
Metagenomic analysis of the human distal gut microbiome.
-
Gill, S. R., Pop, M., Deboy, R. T., Eckburg, P. B. et al., Metagenomic analysis of the human distal gut microbiome. Science 2006, 312, 1355-1359.
-
(2006)
Science
, vol.312
, pp. 1355-1359
-
-
Gill, S.R.1
Pop, M.2
Deboy, R.T.3
Eckburg, P.B.4
-
93
-
-
80051816997
-
Inclusion of interactions in mathematical modelling of implant assisted magnetic drug targeting.
-
Cregg, P. J., Murphy, K., Mardinoglu, A., Inclusion of interactions in mathematical modelling of implant assisted magnetic drug targeting. Appl. Math. Model. 2012, 36, 1-34.
-
(2012)
Appl. Math. Model.
, vol.36
, pp. 1-34
-
-
Cregg, P.J.1
Murphy, K.2
Mardinoglu, A.3
-
94
-
-
78049476143
-
Theoretical modelling of physiologically stretched vessel in magnetisable stent assisted magnetic drug targeting application.
-
Mardinoglu, A., Cregg, P. J., Murphy, K., Curtin, M., Prina-Mello, A., Theoretical modelling of physiologically stretched vessel in magnetisable stent assisted magnetic drug targeting application. J. Magn. Magn. Mater. 2011, 323, 324-329.
-
(2011)
J. Magn. Magn. Mater.
, vol.323
, pp. 324-329
-
-
Mardinoglu, A.1
Cregg, P.J.2
Murphy, K.3
Curtin, M.4
Prina-Mello, A.5
|