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Results: 1 to 20 of 30

1.

Modelling the p53/p66Shc Aging Pathway in the Shortest Living Vertebrate Nothobranchius Furzeri.

Priami C, De Michele G, Cotelli F, Cellerino A, Giorgio M, Pelicci PG, Migliaccio E.

Aging Dis. 2015 Mar 10;6(2):95-108. doi: 10.14336/AD.2014.0228. eCollection 2015 Mar. Review.

2.

Efficient rejection-based simulation of biochemical reactions with stochastic noise and delays.

Thanh VH, Priami C, Zunino R.

J Chem Phys. 2014 Oct 7;141(13):134116. doi: 10.1063/1.4896985.

PMID:
25296793
3.

Genetic associations with micronutrient levels identified in immune and gastrointestinal networks.

Morine MJ, Monteiro JP, Wise C, Teitel C, Pence L, Williams A, Ning B, McCabe-Sellers B, Champagne C, Turner J, Shelby B, Bogle M, Beger RD, Priami C, Kaput J.

Genes Nutr. 2014 Jul;9(4):408. doi: 10.1007/s12263-014-0408-4. Epub 2014 May 31.

4.

Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.

Monteiro JP, Wise C, Morine MJ, Teitel C, Pence L, Williams A, McCabe-Sellers B, Champagne C, Turner J, Shelby B, Ning B, Oguntimein J, Taylor L, Toennessen T, Priami C, Beger RD, Bogle M, Kaput J.

Genes Nutr. 2014 May;9(3):403. doi: 10.1007/s12263-014-0403-9. Epub 2014 Apr 24.

5.

Network analysis of neurodegenerative disease highlights a role of Toll-like receptor signaling.

Nguyen TP, Caberlotto L, Morine MJ, Priami C.

Biomed Res Int. 2014;2014:686505. doi: 10.1155/2014/686505. Epub 2014 Jan 16.

6.

Consensus statement understanding health and malnutrition through a systems approach: the ENOUGH program for early life.

Kaput J, van Ommen B, Kremer B, Priami C, Monteiro JP, Morine M, Pepping F, Diaz Z, Fenech M, He Y, Albers R, Drevon CA, Evelo CT, Hancock RE, Ijsselmuiden C, Lumey LH, Minihane AM, Muller M, Murgia C, Radonjic M, Sobral B, West KP Jr.

Genes Nutr. 2014 Jan;9(1):378. doi: 10.1007/s12263-013-0378-y. Epub 2013 Dec 22.

7.

Algorithmic modeling quantifies the complementary contribution of metabolic inhibitions to gemcitabine efficacy.

Kahramanoğullari O, Fantaccini G, Lecca P, Morpurgo D, Priami C.

PLoS One. 2012;7(12):e50176. doi: 10.1371/journal.pone.0050176. Epub 2012 Dec 11.

8.

Biological network inference for drug discovery.

Lecca P, Priami C.

Drug Discov Today. 2013 Mar;18(5-6):256-64. doi: 10.1016/j.drudis.2012.11.001. Epub 2012 Nov 10. Review.

PMID:
23147668
9.

Inferring biochemical reaction pathways: the case of the gemcitabine pharmacokinetics.

Lecca P, Morpurgo D, Fantaccini G, Casagrande A, Priami C.

BMC Syst Biol. 2012 May 28;6:51. doi: 10.1186/1752-0509-6-51.

10.

Model-based clustering reveals vitamin D dependent multi-centrality hubs in a network of vitamin-related proteins.

Nguyen TP, Scotti M, Morine MJ, Priami C.

BMC Syst Biol. 2011 Dec 2;5:195. doi: 10.1186/1752-0509-5-195.

11.

Network inference from time-dependent Omics data.

Lecca P, Nguyen TP, Priami C, Quaglia P.

Methods Mol Biol. 2011;719:435-55. doi: 10.1007/978-1-61779-027-0_20. Review.

PMID:
21370096
12.

Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient.

Lecca P, Ihekwaba AE, Dematté L, Priami C.

J Integr Bioinform. 2010 Nov 23;7(1):150. doi: 10.2390/biecoll-jib-2010-150.

PMID:
21098882
13.

Snazer: the simulations and networks analyzer.

Mazza T, Iaccarino G, Priami C.

BMC Syst Biol. 2010 Jan 7;4:1. doi: 10.1186/1752-0509-4-1.

14.

Elucidation of functional consequences of signalling pathway interactions.

Ihekwaba AE, Nguyen PT, Priami C.

BMC Bioinformatics. 2009 Nov 6;10:370. doi: 10.1186/1471-2105-10-370.

15.

Calibration of dynamic models of biological systems with KInfer.

Lecca P, Palmisano A, Ihekwaba A, Priami C.

Eur Biophys J. 2010 May;39(6):1019-39. doi: 10.1007/s00249-009-0520-3. Epub 2009 Aug 11.

PMID:
19669750
16.

Narrative-based computational modelling of the Gp130/JAK/STAT signalling pathway.

Guerriero ML, Dudka A, Underhill-Day N, Heath JK, Priami C.

BMC Syst Biol. 2009 Apr 15;3:40. doi: 10.1186/1752-0509-3-40.

17.

From ODES to language-based, executable models of biological systems.

Palmisano A, Mura I, Priami C.

Pac Symp Biocomput. 2009:239-50.

18.

The Beta Workbench: a computational tool to study the dynamics of biological systems.

Dematté L, Priami C, Romanel A.

Brief Bioinform. 2008 Sep;9(5):437-49. doi: 10.1093/bib/bbn023. Epub 2008 May 7.

19.

An automatic translation of SBML into Beta-binders.

Ciocchetta F, Priami C, Quaglia P.

IEEE/ACM Trans Comput Biol Bioinform. 2008 Jan-Mar;5(1):80-90. doi: 10.1109/TCBB.2007.70219.

PMID:
18245877
20.

Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data.

Segata N, Blanzieri E, Priami C.

J Integr Bioinform. 2008 Jan 28;5(1). doi: 10.2390/biecoll-jib-2008-87.

PMID:
20134054
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