Literature DB >> 15896791

Robustness of the p53 network and biological hackers.

Lewis Dartnell1, Evangelos Simeonidis, Michael Hubank, Sophia Tsoka, I David L Bogle, Lazaros G Papageorgiou.   

Abstract

The p53 protein interaction network is crucial in regulating the metazoan cell cycle and apoptosis. Here, the robustness of the p53 network is studied by analyzing its degeneration under two modes of attack. Linear Programming is used to calculate average path lengths among proteins and the network diameter as measures of functionality. The p53 network is found to be robust to random loss of nodes, but vulnerable to a targeted attack against its hubs, as a result of its architecture. The significance of the results is considered with respect to mutational knockouts of proteins and the directed attacks mounted by tumour inducing viruses.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15896791     DOI: 10.1016/j.febslet.2005.03.101

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  11 in total

1.  A strategy based on protein-protein interface motifs may help in identifying drug off-targets.

Authors:  H Billur Engin; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  J Chem Inf Model       Date:  2012-07-31       Impact factor: 4.956

2.  From Physics to Pharmacology?

Authors:  Richard J Allen; Timothy C Elston
Journal:  Rep Prog Phys       Date:  2011-01

3.  A computational approach to analyze the mechanism of action of the kinase inhibitor bafetinib.

Authors:  Thomas R Burkard; Uwe Rix; Florian P Breitwieser; Giulio Superti-Furga; Jacques Colinge
Journal:  PLoS Comput Biol       Date:  2010-11-18       Impact factor: 4.475

4.  Module detection in complex networks using integer optimisation.

Authors:  Gang Xu; Laura Bennett; Lazaros G Papageorgiou; Sophia Tsoka
Journal:  Algorithms Mol Biol       Date:  2010-11-12       Impact factor: 1.405

5.  Integrated analysis of mutations, miRNA and mRNA expression in glioblastoma.

Authors:  Hua Dong; Li Luo; Shengjun Hong; Hoicheong Siu; Yanghua Xiao; Li Jin; Rui Chen; Momiao Xiong
Journal:  BMC Syst Biol       Date:  2010-11-29

6.  Interactomic and pharmacological insights on human sirt-1.

Authors:  Ankush Sharma; Vasu Gautam; Susan Costantini; Antonella Paladino; Giovanni Colonna
Journal:  Front Pharmacol       Date:  2012-03-23       Impact factor: 5.810

7.  Community structure detection for overlapping modules through mathematical programming in protein interaction networks.

Authors:  Laura Bennett; Aristotelis Kittas; Songsong Liu; Lazaros G Papageorgiou; Sophia Tsoka
Journal:  PLoS One       Date:  2014-11-20       Impact factor: 3.240

8.  Integrative Network Analysis of Differentially Methylated and Expressed Genes for Biomarker Identification in Leukemia.

Authors:  Robersy Sanchez; Sally A Mackenzie
Journal:  Sci Rep       Date:  2020-02-07       Impact factor: 4.379

9.  Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example.

Authors:  Nurcan Tuncbag; Gozde Kar; Attila Gursoy; Ozlem Keskin; Ruth Nussinov
Journal:  Mol Biosyst       Date:  2009-12

Review 10.  Computational analysis of protein interaction networks for infectious diseases.

Authors:  Archana Pan; Chandrajit Lahiri; Anjana Rajendiran; Buvaneswari Shanmugham
Journal:  Brief Bioinform       Date:  2015-08-10       Impact factor: 11.622

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.