dorsal/arxiv
View SchemaScale- free networks in cell biology
| Authors | Reka Albert |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0510054 |
| URL | https://arxiv.org/abs/q-bio/0510054 |
| Journal | Journal of Cell Science 118, 4947-4957 (2005) |
Abstract
A cell's behavior is a consequence of the complex interactions between its numerous constituents, such as DNA, RNA, proteins and small molecules. Cells use signaling pathways and regulatory mechanisms to coordinate multiple processes, allowing them to respond to and adapt to an ever-changing environment. The large number of components, the degree of interconnectivity and the complex control of cellular networks are becoming evident in the integrated genomic and proteomic analyses that are emerging. It is increasingly recognized that the understanding of properties that arise from whole-cell function require integrated, theoretical descriptions of the relationships between different cellular components. Recent theoretical advances allow us to describe cellular network structure with graph concepts, and have revealed organizational features shared with numerous non-biological networks. How do we quantitatively describe a network of hundreds or thousands of interacting components? Does the observed topology of cellular networks give us clues about their evolution? How does cellular networks' organization influence their function and dynamical responses? This article will review the recent advances in addressing these questions.
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"abstract": "A cell\u0027s behavior is a consequence of the complex interactions between its\nnumerous constituents, such as DNA, RNA, proteins and small molecules. Cells\nuse signaling pathways and regulatory mechanisms to coordinate multiple\nprocesses, allowing them to respond to and adapt to an ever-changing\nenvironment. The large number of components, the degree of interconnectivity\nand the complex control of cellular networks are becoming evident in the\nintegrated genomic and proteomic analyses that are emerging. It is increasingly\nrecognized that the understanding of properties that arise from whole-cell\nfunction require integrated, theoretical descriptions of the relationships\nbetween different cellular components. Recent theoretical advances allow us to\ndescribe cellular network structure with graph concepts, and have revealed\norganizational features shared with numerous non-biological networks. How do we\nquantitatively describe a network of hundreds or thousands of interacting\ncomponents? Does the observed topology of cellular networks give us clues about\ntheir evolution? How does cellular networks\u0027 organization influence their\nfunction and dynamical responses? This article will review the recent advances\nin addressing these questions.",
"arxiv_id": "q-bio/0510054",
"authors": [
"Reka Albert"
],
"categories": [
"q-bio.MN"
],
"journal_ref": "Journal of Cell Science 118, 4947-4957 (2005)",
"title": "Scale- free networks in cell biology",
"url": "https://arxiv.org/abs/q-bio/0510054"
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