The value of high quality protein-protein interaction networks for systems biology
- PMID: 17055769
- DOI: 10.1016/j.cbpa.2006.10.005
The value of high quality protein-protein interaction networks for systems biology
Abstract
Protein-protein interaction (PPI) networks contain a large amount of useful information for the functional characterization of proteins and promote the understanding of the complex molecular relationships that determine the phenotype of a cell. Recently, large human interaction maps have been generated with high throughput technologies such as the yeast two-hybrid system. However, they are static and incomplete and do not provide immediate clues about the cellular processes that convert genetic information into complex phenotypes. Refined multiple-aspect PPI screening and confirmation strategies will have to be put in place to increase the validity of interaction maps. Integration of interaction data with other qualitative and quantitative information (e.g. protein expression or localization data), will be required to construct networks of protein function that reflect dynamic processes in the cell. In this way, combined PPI networks can become valuable resources for a systems-level understanding of cellular processes and complex phenotypes.
Similar articles
-
Interaction networks: from protein functions to drug discovery. A review.Pathol Biol (Paris). 2009 Jun;57(4):324-33. doi: 10.1016/j.patbio.2008.10.004. Epub 2008 Dec 13. Pathol Biol (Paris). 2009. PMID: 19070972 Review.
-
A data integration approach for cell cycle analysis oriented to model simulation in systems biology.BMC Syst Biol. 2007 Aug 1;1:35. doi: 10.1186/1752-0509-1-35. BMC Syst Biol. 2007. PMID: 17678529 Free PMC article.
-
The Cartographers toolbox: building bigger and better human protein interaction networks.Brief Funct Genomic Proteomic. 2009 Jan;8(1):1-11. doi: 10.1093/bfgp/elp003. Epub 2009 Mar 12. Brief Funct Genomic Proteomic. 2009. PMID: 19282470 Review.
-
Integration of genomic data for inferring protein complexes from global protein-protein interaction networks.IEEE Trans Syst Man Cybern B Cybern. 2008 Feb;38(1):5-16. doi: 10.1109/TSMCB.2007.908912. IEEE Trans Syst Man Cybern B Cybern. 2008. PMID: 18270078
-
Molecular and cellular approaches for the detection of protein-protein interactions: latest techniques and current limitations.Plant J. 2008 Feb;53(4):610-35. doi: 10.1111/j.1365-313X.2007.03332.x. Plant J. 2008. PMID: 18269572 Review.
Cited by
-
DASMI: exchanging, annotating and assessing molecular interaction data.Bioinformatics. 2009 May 15;25(10):1321-8. doi: 10.1093/bioinformatics/btp142. Bioinformatics. 2009. PMID: 19420069 Free PMC article.
-
The hnRNP-Htt axis regulates necrotic cell death induced by transcriptional repression through impaired RNA splicing.Cell Death Dis. 2016 Apr 28;7(4):e2207. doi: 10.1038/cddis.2016.101. Cell Death Dis. 2016. PMID: 27124581 Free PMC article.
-
Network modeling of MDM2 inhibitor-oxaliplatin combination reveals biological synergy in wt-p53 solid tumors.Oncotarget. 2011 May;2(5):378-92. doi: 10.18632/oncotarget.269. Oncotarget. 2011. PMID: 21623005 Free PMC article.
-
Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information.BMC Genomics. 2016 Aug 18;17 Suppl 4(Suppl 4):433. doi: 10.1186/s12864-016-2795-y. BMC Genomics. 2016. PMID: 27535125 Free PMC article.
-
Computational analysis of protein-protein interactions of cancer drivers in renal cell carcinoma.FEBS Open Bio. 2024 Jan;14(1):112-126. doi: 10.1002/2211-5463.13732. Epub 2023 Nov 27. FEBS Open Bio. 2024. PMID: 37964489 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
