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Networks in cell biology /
"The science of complex biological networks is transforming research in areas ranging from evolutionary biology to medicine. This is the first book on the subject, providing a comprehensive introduction to complex network science and its biological applications. With contributions from key lead...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2010.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Networks in cell biology / |c edited by M. Buchanan [and others]. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2010. | ||
| 300 | |a 1 online resource (x, 271 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a "The science of complex biological networks is transforming research in areas ranging from evolutionary biology to medicine. This is the first book on the subject, providing a comprehensive introduction to complex network science and its biological applications. With contributions from key leaders in both network theory and modern cell biology, this book discusses the network science that is increasingly foundational for systems biology and the quantitative understanding of living systems. It surveys studies in the quantitative structure and dynamics of genetic regulatory networks, molecular networks underlying cellular metabolism, and other fundamental biological processes. The book balances empirical studies and theory to give a unified overview of this interdisciplinary science. It is a key introductory text for graduate students and researchers in physics, biology and biochemistry, and presents ideas and techniques from fields outside the reader's own area of specialization"--Provided by publisher. | ||
| 520 | |a "Biologists now have access to a virtually complete map of all the genes in thehuman genome, and in the genomes of many other species. They are aggressivelyassembling a similarly detailed knowledge of the proteome, the full collection ofproteins encoded by those genes, and the transcriptome, the diverse set of mRNA"--Provided by publisher. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover -- Half-title -- Title -- Copyright -- Contents -- Contributors -- Introduction -- 1 Network views of the cell -- 1.1 The network hypothesis -- 1.2 The central dogma and gene regulatory networks -- 1.3 Proteinprotein interaction networks -- 1.4 Metabolic networks -- 1.5 Signaling networks -- 1.6 Networked networks and cell functionality -- 1.7 Concluding remarks -- 2 Transcriptional regulatory networks -- 2.1 Introduction -- 2.2 Transcriptional regulation in prokaryotes and eukaryotes -- 2.3 Structure of transcriptional regulatory networks -- 2.3.1 Global level -- 2.3.2 Modular level -- 2.3.3 Local level -- 2.4 Evolution of transcriptional regulatory networks -- 2.4.1 Evolution of transcription factors and cis-regulatory elements -- 2.4.2 Transcriptional network evolution within an organism -- 2.4.3 Transcriptional network evolution across organisms -- 2.5 Dynamics of transcriptional regulatory networks -- 2.5.1 Temporal dynamics of transcriptional networks -- 2.5.2 Dynamics of individual regulatory interactions -- 2.6 Conclusions -- Acknowledgments -- 3 Transcription factors and gene regulatory networks -- 3.1 Introduction -- 3.2 Promoters' complexity/eukaryotic gene promoters -- 3.2.1 Human promoters -- 3.3 Transcription factors -- 3.3.1 bZIP transcription factors -- 3.3.2 Helix-turn-helix domains -- 3.3.3 Zinc-coordinating domains -- 3.4 Bioinformatics of regulatory networks -- 3.4.1 Transcription factors identification -- 3.4.2 Motif finding -- 4 Experimental methods for protein interaction identification -- 4.1 Introduction -- 4.1.1 Complex versus binary interactions -- 4.1.2 The biological relevance of detected proteinprotein interactions -- 4.1.3 Proteinprotein interactions are incompletely studied -- 4.2 Protein complementation techniques -- 4.2.1 The yeast two-hybrid system -- 4.2.2 Other fragment complementation techniques -- 4.3 Affinity purification methods -- 4.3.1 GST pulldown -- 4.3.2 Co-immunoprecipitation -- 4.4 Protein complex purification and mass spectrometry -- 4.4.1 Purification of proteins using affinity tags -- 4.4.2 Tandem affinity tagging -- 4.4.3 Genetics and cloning of affinity tagged proteins -- 4.4.4 Isolation of protein complexes -- 4.4.5 Proteomics by mass spectrometry -- 4.4.6 Identifying interacting proteins using mass spectrometry -- 4.4.7 Quantitative proteomics -- 4.5 Protein and peptide chips -- 4.6 Other methods for interaction detection and functional analysis -- Genetic interactions -- Functional interactions such as post-translational modifications -- 4.7 Quality of large-scale interaction data -- 4.8 Comparison of methods -- 4.8.1 Y2H vs. co-AP/MS -- 4.8.2 coAP/MS vs. protein chips -- 4.9 Conclusions -- 5 Modeling protein interaction networks -- 5.1 Introduction -- 5.2 Scaling laws and network topology -- 5.2.1 Evolution and duplication of proteins -- 5.2.2 Protein binding physical models -- 5.3 Predicting protein interactions -- 5.3.1 Genome analysis and expression -- 5.4 Towards models at an atomic level of resolution -- 5.4.1 Proteinprotein docking -- 5.4.2 Modeling by homology -- 5.5 Concluding remarks -- 6 Dynamics and evolution of metabolic networks -- 6.1 Introduction -- 6.2 Cellular metabolism and its regulation -- 6.3 Metabolism across disciplines -- Origin and ev. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Cellular control mechanisms. | |
| 650 | 0 | |a Biological systems. | |
| 650 | 0 | |a System analysis. | |
| 650 | 0 | |a Cell physiology. | |
| 650 | 0 | |a Biological models. | |
| 650 | 1 | 2 | |a Cell Physiological Phenomena |
| 650 | 2 | 2 | |a Models, Biological |
| 650 | 2 | 2 | |a Systems Biology |x methods |
| 650 | 2 | |a Systems Analysis | |
| 650 | 6 | |a Régulation cellulaire. | |
| 650 | 6 | |a Systèmes biologiques. | |
| 650 | 6 | |a Analyse de systèmes. | |
| 650 | 6 | |a Cellules |x Physiologie. | |
| 650 | 6 | |a Modèles biologiques. | |
| 650 | 7 | |a systems analysis. |2 aat | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Cell Biology. |2 bisacsh | |
| 650 | 7 | |a Cell physiology |2 fast | |
| 650 | 7 | |a Biological models |2 fast | |
| 650 | 7 | |a Biological systems |2 fast | |
| 650 | 7 | |a Cellular control mechanisms |2 fast | |
| 650 | 7 | |a System analysis |2 fast | |
| 700 | 1 | |a Buchanan, M. |q (Mark), |d 1961- | |
| 776 | 0 | 8 | |i Print version: |t Networks in cell biology. |d Cambridge ; New York : Cambridge University Press, 2010 |z 9780521882736 |w (DLC) 2010000127 |w (OCoLC)500241736 |
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