Network integration and graph analysis in mammalian molecular systems biology
- 15 September 2008
- journal article
- review article
- Published by Institution of Engineering and Technology (IET) in IET Systems Biology
- Vol. 2 (5) , 206-221
- https://doi.org/10.1049/iet-syb:20070075
Abstract
Ion of intracellular biomolecular interactions into networks is useful for data integration and graph analysis. Network analysis tools facilitate predictions of novel functions for proteins, prediction of functional interactions and identification of intracellular modules. These efforts are linked with drug and phenotype data to accelerate drug-target and biomarker discovery. This review highlights the currently available varieties of mammalian biomolecular networks, and surveys methods and tools to construct, compare, integrate, visualise and analyse such networks.Keywords
This publication has 112 references indexed in Scilit:
- New Nanostructured Carbon Coating Inhibits Bacterial Growth, but Does Not Influence on Animal CellsNanomaterials, 2020
- A haplotype map of the human genomeNature, 2005
- Pathway information for systems biologyFEBS Letters, 2005
- IntAct: an open source molecular interaction databaseNucleic Acids Research, 2004
- The International HapMap ProjectNature, 2003
- Development of Human Protein Reference Database as an Initial Platform for Approaching Systems Biology in HumansGenome Research, 2003
- Protein complexes and functional modules in molecular networksProceedings of the National Academy of Sciences, 2003
- Sequencing and comparison of yeast species to identify genes and regulatory elementsNature, 2003
- Comparative assessment of large-scale data sets of protein–protein interactionsNature, 2002
- Network motifs in the transcriptional regulation network of Escherichia coliNature Genetics, 2002