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Results: 1 to 20 of 63

1.

Statin-induced mevalonate pathway inhibition attenuates the growth of mesenchymal-like cancer cells that lack functional E-cadherin mediated cell cohesion.

Warita K, Warita T, Beckwitt CH, Schurdak ME, Vazquez A, Wells A, Oltvai ZN.

Sci Rep. 2014 Dec 23;4:7593. doi: 10.1038/srep07593.

2.

BalestraWeb: efficient online evaluation of drug-target interactions.

Cobanoglu MC, Oltvai ZN, Taylor DL, Bahar I.

Bioinformatics. 2015 Jan 1;31(1):131-3. doi: 10.1093/bioinformatics/btu599. Epub 2014 Sep 5.

3.

Significance of p53 dynamics in regulating apoptosis in response to ionizing radiation, and polypharmacological strategies.

Liu B, Bhatt D, Oltvai ZN, Greenberger JS, Bahar I.

Sci Rep. 2014 Sep 1;4:6245. doi: 10.1038/srep06245.

4.

Carbon catabolite repression correlates with the maintenance of near invariant molecular crowding in proliferating E. coli cells.

Zhou Y, Vazquez A, Wise A, Warita T, Warita K, Bar-Joseph Z, Oltvai ZN.

BMC Syst Biol. 2013 Dec 12;7:138. doi: 10.1186/1752-0509-7-138.

5.

Predicting drug-target interactions using probabilistic matrix factorization.

Cobanoglu MC, Liu C, Hu F, Oltvai ZN, Bahar I.

J Chem Inf Model. 2013 Dec 23;53(12):3399-409. doi: 10.1021/ci400219z. Epub 2013 Dec 10.

6.

The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.

Dolfi SC, Chan LL, Qiu J, Tedeschi PM, Bertino JR, Hirshfield KM, Oltvai ZN, Vazquez A.

Cancer Metab. 2013 Nov 7;1(1):20. doi: 10.1186/2049-3002-1-20.

7.

Contribution of serine, folate and glycine metabolism to the ATP, NADPH and purine requirements of cancer cells.

Tedeschi PM, Markert EK, Gounder M, Lin H, Dvorzhinski D, Dolfi SC, Chan LL, Qiu J, DiPaola RS, Hirshfield KM, Boros LG, Bertino JR, Oltvai ZN, Vazquez A.

Cell Death Dis. 2013 Oct 24;4:e877. doi: 10.1038/cddis.2013.393.

8.

Identifying ligand binding conformations of the β2-adrenergic receptor by using its agonists as computational probes.

Isin B, Estiu G, Wiest O, Oltvai ZN.

PLoS One. 2012;7(12):e50186. doi: 10.1371/journal.pone.0050186. Epub 2012 Dec 31.

9.

Ongoing technological revolution. Preface.

Wells A, Oltvai ZN.

Clin Lab Med. 2012 Dec;32(4):ix-x. doi: 10.1016/j.cll.2012.07.007. No abstract available.

PMID:
23078666
10.

Workflow organization in pathology.

Park S, Pantanowitz L, Parwani AV, Wells A, Oltvai ZN.

Clin Lab Med. 2012 Dec;32(4):601-22. doi: 10.1016/j.cll.2012.07.008. Review.

PMID:
23078662
11.

Identification of motions in membrane proteins by elastic network models and their experimental validation.

Isin B, Tirupula KC, Oltvai ZN, Klein-Seetharaman J, Bahar I.

Methods Mol Biol. 2012;914:285-317. doi: 10.1007/978-1-62703-023-6_17.

PMID:
22976035
12.

Matching experiments across species using expression values and textual information.

Wise A, Oltvai ZN, Bar-Joseph Z.

Bioinformatics. 2012 Jun 15;28(12):i258-64. doi: 10.1093/bioinformatics/bts205.

13.

Serine biosynthesis with one carbon catabolism and the glycine cleavage system represents a novel pathway for ATP generation.

Vazquez A, Markert EK, Oltvai ZN.

PLoS One. 2011;6(11):e25881. doi: 10.1371/journal.pone.0025881. Epub 2011 Nov 2.

14.
15.

Cross-species queries of large gene expression databases.

Le HS, Oltvai ZN, Bar-Joseph Z.

Bioinformatics. 2010 Oct 1;26(19):2416-23. doi: 10.1093/bioinformatics/btq451. Epub 2010 Aug 11.

16.

Identification of novel bacterial histidine biosynthesis inhibitors using docking, ensemble rescoring, and whole-cell assays.

Henriksen ST, Liu J, Estiu G, Oltvai ZN, Wiest O.

Bioorg Med Chem. 2010 Jul 15;18(14):5148-56. doi: 10.1016/j.bmc.2010.05.060. Epub 2010 Jun 1.

17.

Catabolic efficiency of aerobic glycolysis: the Warburg effect revisited.

Vazquez A, Liu J, Zhou Y, Oltvai ZN.

BMC Syst Biol. 2010 May 6;4:58. doi: 10.1186/1752-0509-4-58.

18.

Blueprint for antimicrobial hit discovery targeting metabolic networks.

Shen Y, Liu J, Estiu G, Isin B, Ahn YY, Lee DS, Barabási AL, Kapatral V, Wiest O, Oltvai ZN.

Proc Natl Acad Sci U S A. 2010 Jan 19;107(3):1082-7. doi: 10.1073/pnas.0909181107. Epub 2010 Jan 5.

19.

Computational disease modeling - fact or fiction?

Tegnér JN, Compte A, Auffray C, An G, Cedersund G, Clermont G, Gutkin B, Oltvai ZN, Stephan KE, Thomas R, Villoslada P.

BMC Syst Biol. 2009 Jun 4;3:56. doi: 10.1186/1752-0509-3-56.

20.

Comparative genome-scale metabolic reconstruction and flux balance analysis of multiple Staphylococcus aureus genomes identify novel antimicrobial drug targets.

Lee DS, Burd H, Liu J, Almaas E, Wiest O, Barabási AL, Oltvai ZN, Kapatral V.

J Bacteriol. 2009 Jun;191(12):4015-24. doi: 10.1128/JB.01743-08. Epub 2009 Apr 17.

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