Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 109

1.

From components to regulatory motifs in signalling networks.

Ma'ayan A, Iyengar R.

Brief Funct Genomic Proteomic. 2006 Mar;5(1):57-61. Epub 2006 Feb 20. Review.

2.

Computational approach to systems biology: from fraction to integration and beyond.

Dhar PK, Zhu H, Mishra SK.

IEEE Trans Nanobioscience. 2004 Sep;3(3):144-52.

PMID:
15473066
3.

Computational systems biology of the cell cycle.

Csikász-Nagy A.

Brief Bioinform. 2009 Jul;10(4):424-34. doi: 10.1093/bib/bbp005. Epub 2009 Mar 6. Review.

4.

Reconstruction of cellular signalling networks and analysis of their properties.

Papin JA, Hunter T, Palsson BO, Subramaniam S.

Nat Rev Mol Cell Biol. 2005 Feb;6(2):99-111. Review.

PMID:
15654321
5.

Cell biologists expand their networks.

Short B.

J Cell Biol. 2009 Aug 10;186(3):305-11. doi: 10.1083/jcb.200907093.

6.

Evolving a lingua franca and associated software infrastructure for computational systems biology: the Systems Biology Markup Language (SBML) project.

Hucka M, Finney A, Bornstein BJ, Keating SM, Shapiro BE, Matthews J, Kovitz BL, Schilstra MJ, Funahashi A, Doyle JC, Kitano H.

Syst Biol (Stevenage). 2004 Jun;1(1):41-53. Review.

PMID:
17052114
7.

Biochemical systems analysis of signaling pathways to understand fungal pathogenicity.

Garcia J, Sims KJ, Schwacke JH, Del Poeta M.

Methods Mol Biol. 2011;734:173-200. doi: 10.1007/978-1-61779-086-7_9.

PMID:
21468990
8.

Search for organising principles: understanding in systems biology.

Mesarovic MD, Sreenath SN, Keene JD.

Syst Biol (Stevenage). 2004 Jun;1(1):19-27. Review.

PMID:
17052112
9.

Computational systems biology and dose-response modeling in relation to new directions in toxicity testing.

Zhang Q, Bhattacharya S, Andersen ME, Conolly RB.

J Toxicol Environ Health B Crit Rev. 2010 Feb;13(2-4):253-76. doi: 10.1080/10937404.2010.483943.

PMID:
20574901
10.

Implicit methods for qualitative modeling of gene regulatory networks.

Garg A, Mohanram K, De Micheli G, Xenarios I.

Methods Mol Biol. 2012;786:397-443. doi: 10.1007/978-1-61779-292-2_22.

PMID:
21938638
11.

Computational models of molecular self-organization in cellular environments.

LeDuc P, Schwartz R.

Cell Biochem Biophys. 2007;48(1):16-31. Review.

PMID:
17703065
12.

Computational methodologies for modelling, analysis and simulation of signalling networks.

Gilbert D, Fuss H, Gu X, Orton R, Robinson S, Vyshemirsky V, Kurth MJ, Downes CS, Dubitzky W.

Brief Bioinform. 2006 Dec;7(4):339-53. Epub 2006 Nov 20. Review.

13.

Why we need quantitative dynamic models.

Iyengar R.

Sci Signal. 2009 Mar 31;2(64):eg3. doi: 10.1126/scisignal.264eg3.

14.

Functional motifs in biochemical reaction networks.

Tyson JJ, Novák B.

Annu Rev Phys Chem. 2010;61:219-40. doi: 10.1146/annurev.physchem.012809.103457. Review.

15.

An investigation of spatial signal transduction in cellular networks.

Alam-Nazki A, Krishnan J.

BMC Syst Biol. 2012 Jul 5;6:83. doi: 10.1186/1752-0509-6-83.

16.

Dynamic modeling and analysis of cancer cellular network motifs.

Cloutier M, Wang E.

Integr Biol (Camb). 2011 Jul;3(7):724-32. doi: 10.1039/c0ib00145g. Epub 2011 Jun 15. Review.

PMID:
21674097
17.

Toward computational systems biology.

You L.

Cell Biochem Biophys. 2004;40(2):167-84. Review.

PMID:
15054221
18.

Towards a systems biology approach of-G protein-coupled receptor signalling: challenges and expectations.

Heitzler D, Crépieux P, Poupon A, Clément F, Fages F, Reiter E.

C R Biol. 2009 Nov;332(11):947-57. doi: 10.1016/j.crvi.2009.09.002. Epub 2009 Oct 14. Review.

PMID:
19909918
19.

Understanding eukaryotic linear motifs and their role in cell signaling and regulation.

Diella F, Haslam N, Chica C, Budd A, Michael S, Brown NP, Trave G, Gibson TJ.

Front Biosci. 2008 May 1;13:6580-603. Review.

PMID:
18508681
20.

Analysis and modelling of signal transduction pathways in systems biology.

Cho KH, Wolkenhauer O.

Biochem Soc Trans. 2003 Dec;31(Pt 6):1503-9.

PMID:
14641099
Items per page

Supplemental Content

Write to the Help Desk