Systems Biology for Signaling Networks
System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signaling pathways into human and computer readable network maps. These maps can then be used to classify and study individual components involved in a particular phenomenon. Apart from transcriptomics, several individual gene studies have resulted in adding to our knowledge of key components that are involved in a signaling pathway. It therefore becomes imperative to take into account of these studies also, while constructing our network maps to highlight the interconnectedness of the entire signaling pathways and the role of that particular individual protein in the pathway. This collection of articles will contain a collection of pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data. The distinctive features of this book would be: Act a single source of information to understand the various components of different signaling network (roadmap of biochemical pathways, the nature of a molecule of interest in a particular pathway, etc.), Serve as a platform to highlight the key findings in this highly volatile and evolving field, and Provide answers to various techniques both related to microarray and cell signaling to the readers.
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Part II Modeling and Reconstruction
Part III Applications for Signaling Networks
Part IV Tools for Systems Biology
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Acad Sci USA activation algorithm analysis annotation apoptosis approach behavior binding biochemical Bioinformatics Biol biological networks BlenX cancer CellML cellular cluster complex components computational cytokine Cytoscape data set database differentially expressed disease domain drug dynamics enzyme equations example experimental expression profiles extracellular feedback loop function gene expression gene groups Gene Ontology gene regulatory networks genetic genome GO terms graph growth factor high-throughput human identified inhibition inhibitors InnateDB input integrated interaction networks interactome interface kinetic liver MAPK mathematical metabolic methods modules molecular molecules multiple Natl Acad Sci nodes nonlinear output p-values parameters peptide Petri nets phosphorylation prediction Proc Natl Acad protein–protein interaction proteomics reaction receptor regulation regulatory networks represent response samples SBML SH2 domain signal transduction signaling networks signaling pathways simulation specific Springer Science+Business Media stochastic structure systems biology T-invariants target tion transcription factors values variables visualization yeast