User:Anthony.Sebastian/Life/draft/Sebastian Notes: Difference between revisions
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==The Information Processing Perspective== | |||
*Define information | *Define information | ||
*Relate to entropy | *Relate to entropy | ||
*Define entopy | *Define entopy | ||
==Self-Organizationn== | |||
Cellular self-organization emerges in part from the chemical properties of the proteins encoded in genes. Those proteins make their appearance by a genetic transcription-translation machinery, which itself represents a self-organized function emerging in part from the chemical properties of proteins and other molecules. The twice-added qualifier, ‘in part’, reflects the need to invoke evolutionary mechanisms selecting genes that yield proteins whose chemical properties entail interactions that tend to optimize functional self-organization—in other words, adaption to circumstances. Self-organization and adaptation ally.<ref>Heylighen F. (2001) The Science of Self-organization and Adaptivity. In: Kiel LD, ed. Knowledge Management, Organizational Intelligence and Learning, and Complexity: The Encyclopedia of Life Support Systems ((EOLSS). Oxford: Eolss [http://pcp.vub.ac.be/Papers/PapersFH2.html Link to Full-Text]</rf> | |||
Cell structure and function self-organize. If viewed metaphorically as a computer, the genome of a cell functions as a ‘program’ that constructs critical components of itself that can arrange themselves in a way that accords with their chemical properties. With the tinkering of evolution’s handiwork, that arrangement can then carry out integrative functions not explicitly encoded in the genome itself.<ref>Noble D. (2002) Modeling the Heart--from Genes to Cells to the Whole Organ. Science 295:1678-82 [http://dx.doi.org/10.1126/science.1069881 Link to Full-Text]</ref> | |||
The Nobel Prize-winning geneticist, Sidney Brenner,<ref> [http://nobelprize.org/nobel_prizes/medicine/laureates/2002/brenner-lecture.html Link to full-text of Sidney Brenner’s Nobel lecture “Nature’s Gift to Science” 2002]</ref> expressed it this way: | |||
:*”…biological systems can be viewed as special computing devices. This view emerges from considerations of how information is stored in and retrieved from the genes. Genes can only specify the properties of the proteins they code for, and any integrative properties of the system must be 'computed' by their interactions. This provides a framework for analysis by simulation and sets practical bounds on what can be achieved by reductionist models.”<ref> Brenner S. (1998) Biological computation. Novartis.Found.Symp. 213:106-11 PMID 9653718</ref> | |||
Revision as of 21:35, 14 March 2007
The Information Processing Perspective
- Define information
- Relate to entropy
- Define entopy
Self-Organizationn
Cellular self-organization emerges in part from the chemical properties of the proteins encoded in genes. Those proteins make their appearance by a genetic transcription-translation machinery, which itself represents a self-organized function emerging in part from the chemical properties of proteins and other molecules. The twice-added qualifier, ‘in part’, reflects the need to invoke evolutionary mechanisms selecting genes that yield proteins whose chemical properties entail interactions that tend to optimize functional self-organization—in other words, adaption to circumstances. Self-organization and adaptation ally.Cite error: Closing </ref> missing for <ref> tag
The Nobel Prize-winning geneticist, Sidney Brenner,[1] expressed it this way:
- ”…biological systems can be viewed as special computing devices. This view emerges from considerations of how information is stored in and retrieved from the genes. Genes can only specify the properties of the proteins they code for, and any integrative properties of the system must be 'computed' by their interactions. This provides a framework for analysis by simulation and sets practical bounds on what can be achieved by reductionist models.”[2]
- ↑ Link to full-text of Sidney Brenner’s Nobel lecture “Nature’s Gift to Science” 2002
- ↑ Brenner S. (1998) Biological computation. Novartis.Found.Symp. 213:106-11 PMID 9653718