Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 80

1.

Predicting metabolic biomarkers of human inborn errors of metabolism.

Shlomi T, Cabili MN, Ruppin E.

Mol Syst Biol. 2009;5:263. doi: 10.1038/msb.2009.22. Epub 2009 Apr 28.

2.

A compendium of inborn errors of metabolism mapped onto the human metabolic network.

Sahoo S, Franzson L, Jonsson JJ, Thiele I.

Mol Biosyst. 2012 Oct;8(10):2545-58. doi: 10.1039/c2mb25075f.

PMID:
22699794
3.

Reconstruction and analysis of human heart-specific metabolic network based on transcriptome and proteome data.

Zhao Y, Huang J.

Biochem Biophys Res Commun. 2011 Nov 25;415(3):450-4. doi: 10.1016/j.bbrc.2011.10.090. Epub 2011 Oct 25.

PMID:
22057009
4.

Metabolomics and the diagnosis of human diseases--a guide to the markers and pathophysiological pathways affected.

Medina S, Dominguez-Perles R, Gil JI, Ferreres F, Gil-Izquierdo A.

Curr Med Chem. 2014 Mar;21(7):823-48. Review.

PMID:
24251573
5.

Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model.

Yizhak K, Benyamini T, Liebermeister W, Ruppin E, Shlomi T.

Bioinformatics. 2010 Jun 15;26(12):i255-60. doi: 10.1093/bioinformatics/btq183.

6.
7.

Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Kell DB, Goodacre R.

Drug Discov Today. 2014 Feb;19(2):171-82. doi: 10.1016/j.drudis.2013.07.014. Epub 2013 Jul 26. Review. Erratum in: Drug Discov Today. 2014 Nov;19(11):1828.

8.

RRLC-MS/MS-based metabonomics combined with in-depth analysis of metabolic correlation network: finding potential biomarkers for breast cancer.

Chen Y, Zhang R, Song Y, He J, Sun J, Bai J, An Z, Dong L, Zhan Q, Abliz Z.

Analyst. 2009 Oct;134(10):2003-11. doi: 10.1039/b907243h. Epub 2009 Aug 14.

PMID:
19768207
9.

Exploratory urinary metabolic biomarkers and pathways using UPLC-Q-TOF-HDMS coupled with pattern recognition approach.

Zhang A, Sun H, Han Y, Yuan Y, Wang P, Song G, Yuan X, Zhang M, Xie N, Wang X.

Analyst. 2012 Sep 21;137(18):4200-8. doi: 10.1039/c2an35780a. Epub 2012 Jul 31.

PMID:
22852134
10.

A genome-scale modeling approach to study inborn errors of liver metabolism: toward an in silico patient.

Pagliarini R, di Bernardo D.

J Comput Biol. 2013 May;20(5):383-97. doi: 10.1089/cmb.2012.0276. Epub 2013 Mar 6.

11.

Genome-scale metabolic network analysis and drug targeting of multi-drug resistant pathogen Acinetobacter baumannii AYE.

Kim HU, Kim TY, Lee SY.

Mol Biosyst. 2010 Feb;6(2):339-48. doi: 10.1039/b916446d. Epub 2009 Dec 8.

PMID:
20094653
12.

Filling kinetic gaps: dynamic modeling of metabolism where detailed kinetic information is lacking.

Resendis-Antonio O.

PLoS One. 2009;4(3):e4967. doi: 10.1371/journal.pone.0004967. Epub 2009 Mar 23.

13.

Metabolomics tools for identifying biomarkers for neuropsychiatric diseases.

Quinones MP, Kaddurah-Daouk R.

Neurobiol Dis. 2009 Aug;35(2):165-76. doi: 10.1016/j.nbd.2009.02.019. Epub 2009 Mar 19. Review.

PMID:
19303440
14.

N-acetylated metabolites in urine: proton nuclear magnetic resonance spectroscopic study on patients with inborn errors of metabolism.

Engelke UF, Liebrand-van Sambeek ML, de Jong JG, Leroy JG, Morava E, Smeitink JA, Wevers RA.

Clin Chem. 2004 Jan;50(1):58-66. Epub 2003 Nov 18.

15.

Predicting functional associations from metabolism using bi-partite network algorithms.

Veeramani B, Bader JS.

BMC Syst Biol. 2010 Jul 14;4:95. doi: 10.1186/1752-0509-4-95.

16.

Metabolic Model-Based Integration of Microbiome Taxonomic and Metabolomic Profiles Elucidates Mechanistic Links between Ecological and Metabolic Variation.

Noecker C, Eng A, Srinivasan S, Theriot CM, Young VB, Jansson JK, Fredricks DN, Borenstein E.

mSystems. 2016 Jan-Feb;1(1). pii: e00013-15. Epub 2016 Jan 19.

17.

Metabolomics in evaluation of glucose disorders.

Sébédio JL, Pujos-Guillot E, Ferrara M.

Curr Opin Clin Nutr Metab Care. 2009 Jul;12(4):412-8. doi: 10.1097/MCO.0b013e32832c97c3. Review.

PMID:
19474720
18.

Two-dimensional statistical recoupling for the identification of perturbed metabolic networks from NMR spectroscopy.

Blaise BJ, Navratil V, Domange C, Shintu L, Dumas ME, Elena-Herrmann B, Emsley L, Toulhoat P.

J Proteome Res. 2010 Sep 3;9(9):4513-20. doi: 10.1021/pr1002615.

PMID:
20590164
19.

Computational identification of altered metabolism using gene expression and metabolic pathways.

Nam H, Lee J, Lee D.

Biotechnol Bioeng. 2009 Jul 1;103(4):835-43. doi: 10.1002/bit.22320.

PMID:
19378263
20.

Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells.

Yurkovich JT, Yang L, Palsson BO.

PLoS Comput Biol. 2017 Mar 6;13(3):e1005424. doi: 10.1371/journal.pcbi.1005424. eCollection 2017 Mar.

Supplemental Content

Support Center