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Results: 1 to 20 of 204

1.

Is Cancer a Genetic Disease or a Metabolic Disease?

Wishart DS.

EBioMedicine. 2015 May 23;2(6):478-9. doi: 10.1016/j.ebiom.2015.05.022. eCollection 2015 Jun. No abstract available.

2.

Correction: Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics.

Ravanbakhsh S, Liu P, Bjorndahl TC, Mandal R, Grant JR, Wilson M, Eisner R, Sinelnikov I, Hu X, Luchinat C, Greiner R, Wishart DS.

PLoS One. 2015 Jul 29;10(7):e0132873. doi: 10.1371/journal.pone.0132873. eCollection 2015.

3.

Validation of metabolomic models for prediction of early-onset preeclampsia.

Bahado-Singh RO, Syngelaki A, Akolekar R, Mandal R, Bjondahl TC, Han B, Dong E, Bauer S, Alpay-Savasan Z, Graham S, Turkoglu O, Wishart DS, Nicolaides KH.

Am J Obstet Gynecol. 2015 Jun 23. pii: S0002-9378(15)00657-2. doi: 10.1016/j.ajog.2015.06.044. [Epub ahead of print]

PMID:
26116099
4.

Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review.

Emwas AH, Luchinat C, Turano P, Tenori L, Roy R, Salek RM, Ryan D, Merzaban JS, Kaddurah-Daouk R, Zeri AC, Nagana Gowda GA, Raftery D, Wang Y, Brennan L, Wishart DS.

Metabolomics. 2015;11(4):872-894. Epub 2014 Nov 21. Review.

5.

Accessible surface area from NMR chemical shifts.

Hafsa NE, Arndt D, Wishart DS.

J Biomol NMR. 2015 Jul;62(3):387-401. doi: 10.1007/s10858-015-9957-0. Epub 2015 Jun 16.

PMID:
26078090
6.

NMR Exchange Format: a unified and open standard for representation of NMR restraint data.

Gutmanas A, Adams PD, Bardiaux B, Berman HM, Case DA, Fogh RH, G√ľntert P, Hendrickx PM, Herrmann T, Kleywegt GJ, Kobayashi N, Lange OF, Markley JL, Montelione GT, Nilges M, Ragan TJ, Schwieters CD, Tejero R, Ulrich EL, Velankar S, Vranken WF, Wedell JR, Westbrook J, Wishart DS, Vuister GW.

Nat Struct Mol Biol. 2015 Jun;22(6):433-4. doi: 10.1038/nsmb.3041. No abstract available.

7.

Accurate, fully-automated NMR spectral profiling for metabolomics.

Ravanbakhsh S, Liu P, Bjordahl TC, Mandal R, Grant JR, Wilson M, Eisner R, Sinelnikov I, Hu X, Luchinat C, Greiner R, Wishart DS.

PLoS One. 2015 May 27;10(5):e0124219. doi: 10.1371/journal.pone.0124219. eCollection 2015.

8.

Metabolomic fingerprint of heart failure with preserved ejection fraction.

Zordoky BN, Sung MM, Ezekowitz J, Mandal R, Han B, Bjorndahl TC, Bouatra S, Anderson T, Oudit GY, Wishart DS, Dyck JR; Alberta HEART.

PLoS One. 2015 May 26;10(5):e0124844. doi: 10.1371/journal.pone.0124844. eCollection 2015.

9.

CSI 3.0: a web server for identifying secondary and super-secondary structure in proteins using NMR chemical shifts.

Hafsa NE, Arndt D, Wishart DS.

Nucleic Acids Res. 2015 Jul 1;43(W1):W370-7. doi: 10.1093/nar/gkv494. Epub 2015 May 15.

10.

Pathways with PathWhiz.

Pon A, Jewison T, Su Y, Liang Y, Knox C, Maciejewski A, Wilson M, Wishart DS.

Nucleic Acids Res. 2015 Jul 1;43(W1):W552-9. doi: 10.1093/nar/gkv399. Epub 2015 May 1.

11.

MetaboAnalyst 3.0-making metabolomics more meaningful.

Xia J, Sinelnikov IV, Han B, Wishart DS.

Nucleic Acids Res. 2015 Jul 1;43(W1):W251-7. doi: 10.1093/nar/gkv380. Epub 2015 Apr 20.

12.

The effect of haemolysis on the metabolomic profile of umbilical cord blood.

Denihan NM, Walsh BH, Reinke SN, Sykes BD, Mandal R, Wishart DS, Broadhurst DI, Boylan GB, Murray DM.

Clin Biochem. 2015 May;48(7-8):534-7. doi: 10.1016/j.clinbiochem.2015.02.004. Epub 2015 Feb 16.

PMID:
25697106
13.

Recombinant mouse prion protein alone or in combination with lipopolysaccharide alters expression of innate immunity genes in the colon of mice.

Dervishi E, Lam TH, Dunn SM, Zwierzchowski G, Saleem F, Wishart DS, Ametaj BN.

Prion. 2015;9(1):59-73. doi: 10.1080/19336896.2015.1019694.

PMID:
25695140
14.

Role of water in ligand binding to maltose-binding protein: insight from a new docking protocol based on the 3D-RISM-KH molecular theory of solvation.

Huang W, Blinov N, Wishart DS, Kovalenko A.

J Chem Inf Model. 2015 Feb 23;55(2):317-28. doi: 10.1021/ci500520q. Epub 2015 Jan 26.

PMID:
25545470
15.

The use of metabolomics in population-based research.

Su LJ, Fiehn O, Maruvada P, Moore SC, O'Keefe SJ, Wishart DS, Zanetti KA.

Adv Nutr. 2014 Nov 14;5(6):785-8. doi: 10.3945/an.114.006494. Print 2014 Nov.

PMID:
25398741
16.

Identifying putative drug targets and potential drug leads: starting points for virtual screening and docking.

Wishart DS.

Methods Mol Biol. 2015;1215:425-44. doi: 10.1007/978-1-4939-1465-4_19.

PMID:
25330974
17.

CSI 2.0: a significantly improved version of the Chemical Shift Index.

Hafsa NE, Wishart DS.

J Biomol NMR. 2014 Nov;60(2-3):131-46. doi: 10.1007/s10858-014-9863-x. Epub 2014 Oct 2.

PMID:
25273503
18.

Salmonella phages and prophages: genomics, taxonomy, and applied aspects.

Switt AI, Sulakvelidze A, Wiedmann M, Kropinski AM, Wishart DS, Poppe C, Liang Y.

Methods Mol Biol. 2015;1225:237-87. doi: 10.1007/978-1-4939-1625-2_15.

PMID:
25253259
19.

Development of isotope labeling liquid chromatography mass spectrometry for mouse urine metabolomics: quantitative metabolomic study of transgenic mice related to Alzheimer's disease.

Peng J, Guo K, Xia J, Zhou J, Yang J, Westaway D, Wishart DS, Li L.

J Proteome Res. 2014 Oct 3;13(10):4457-69. doi: 10.1021/pr500828v. Epub 2014 Sep 15.

PMID:
25164377
20.

Urinary metabolomics for noninvasive detection of borderline and acute T cell-mediated rejection in children after kidney transplantation.

Blydt-Hansen TD, Sharma A, Gibson IW, Mandal R, Wishart DS.

Am J Transplant. 2014 Oct;14(10):2339-49. doi: 10.1111/ajt.12837. Epub 2014 Aug 19.

PMID:
25138024
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