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Article #22Re: System-Level Genetic Codes: An Explanation for Biological Complexity
From: Arthur T. Murray
Date: Fri, 25 Feb 2000 00:00
Date: Fri, 25 Feb 2000 00:00
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3230 bytes
John F. McGowan, Ph.D., wrote on Thu, 24 Feb 2000: [...]
> SYSTEM-LEVEL GENETIC CODES: AN EXPLANATION FOR BIOLOGICAL COMPLEXITY
> [...] ABSTRACT
> Complex systems with tightly coadapted parts frequently
> appear in living systems and are difficult to account for
> through Darwinian evolution, that is random variation and
> natural selection, if the constituent parts are independently
> coded in the genetic code. If the parts are independently
> coded, multiple simultaneous mutations appear necessary
Likewise, artificial minds with "tightly coadapted parts"
are hard to create because we need a "SYSTEM-LEVEL" design.
> to create or modify these systems. It is generally believed
> that most proteins are independently coded. The textbook rule
> is one gene for one enzyme. Thus, biochemical systems with
> tightly coadapted parts such as the blood clotting cascade
> pose a difficulty for Darwinian evolution. This problem can
> be overcome if the current understanding of the genetic code
> is incomplete and a system-level genetic code
Or, for AI, if the analog of a "system-level genetic code"
can be developed and shared via the Wonderful World Wide Web.
> in which seemingly independent proteins are encoded in an
> interdependent, highly correlated manner exists. The methods
> by which human beings design and fabricate complex systems of
> tightly coadapted parts are explored for insights into the
> requirements for a system-level genetic code.
Meanwhile, back at the branching logic software ranch, code for
http://www.geocities.com/Athens/Agora/7256/mind4th.html Alife AI
gives insights into a system-level brain-mind code for cyborgs.
> Detailed examples of system-level codes for networks of
> matching parts are presented. The implications of identifying
> and deciphering the system-level genetic code if it exists for
> the prevention, treatment, and cure of heart disease, cancer,
> immune disorders, and for rational drug design are discussed.
Prediction: The "system-level code" will be an emergent property,
not a hidden-away "homunculus" directing grand genetic strategies.
> http://www.jmcgowan.com/Complex.pdf
http://www.scn.org/~mentifex/
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: fa00e,3fae4f14e6cc3309 X-Google-Attributes: gidfa00e,public X-Google-Thread: 11131e,3fae4f14e6cc3309 X-Google-Attributes: gid11131e,public X-Google-Thread: 112caa,5dc08a8a73e5ea2c,start X-Google-Attributes: gid112caa,public X-Google-Thread: 1045ed,5dc08a8a73e5ea2c,start X-Google-Attributes: gid1045ed,public X-Google-Thread: 105832,3fae4f14e6cc3309 X-Google-Attributes: gid105832,public From: uj797@victoria.tc.ca (Arthur T. Murray) Subject: Re: System-Level Genetic Codes: An Explanation for Biological Complexity Date: 2000/02/25 Message-ID: <38b72c07@news.victoria.tc.ca> X-Deja-AN: 590101023 References: <894drv$gnl$1@sun500.nas.nasa.gov> X-Original-NNTP-Posting-Host: 199.60.222.3 X-Complaints-To: newsabuse@supernews.com Organization: Victoria Telecommunity Network XPident: uj797 Newsgroups: comp.ai.alife,comp.ai.genetic,sci.nonlinear,soc.history.science,bionet.neuroscience