| (R)evolution of complex regulatory systems. | |
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MedLine Citation:
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PMID: 20571125 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Signaling systems are exciting to study precisely because they are some of the most complex and dynamical systems that we know. The cell needs operational freedom and, thus, many motif-domain interactions might not be "hard-wired" through evolution, but instead may be like the Linux operating system, where symbolic links can point to files without duplication. |
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Authors:
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Rune Linding |
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Publication Detail:
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Type: Editorial Date: 2010-06-22 |
Journal Detail:
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Title: Science signaling Volume: 3 ISSN: 1937-9145 ISO Abbreviation: Sci Signal Publication Date: 2010 |
Date Detail:
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Created Date: 2010-06-23 Completed Date: 2010-10-29 Revised Date: 2011-02-18 |
Medline Journal Info:
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Nlm Unique ID: 101465400 Medline TA: Sci Signal Country: United States |
Other Details:
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Languages: eng Pagination: eg4 Citation Subset: IM |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Biology
/
methods,
trends Cell Physiological Phenomena Environment Genetic Engineering / trends Homeostasis / physiology* Phosphorylation Proteome / metabolism Signal Transduction* Symbolism |
| Chemical | |
Reg. No./Substance:
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0/Proteome |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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