[Fis] Fwd: Discussion

Pedro C. Marijuan pcmarijuan.iacs at aragon.es
Mon Mar 21 09:41:53 CET 2016


 From Louis H Kauffman <loukau at gmail.com
-------------------------------------------

Dear Pedro,

I think that we should assess the role of formal tools that are already 
in place.

1. We use the accepted (graph-theoretical + geometry) models of 
molecules. These models are very powerful and fundamentally simple, but 
the complexities of their application in molecular biology is very 
great, requiring computational handling of the data and geometry. Some 
molecular biologists add features related to physics such as 
electromagnetic fields and quantum mechanics to these models, and it 
should be expected that the quantum level will eventually be very 
important to the structure of molecular biology.

1(a).  This is a further comment on 1. In protein-folding we use the 
basics of model 1, plus elementary modeling of energy and probability of 
bonding. These models are insufficient to do what Nature does naturally.
The models are combinatorial and graph theoretic in nature but they do 
not address the right issues (what are they?) to impinge on the 
actualities of protein folding as it happens. The same is probably true 
about the topological side of protein folding — one can easily construct 
topological invariants at the combinatorial level (I have written about 
this) but their use by biologists has not happened yet. At least one 
researcher (Anti Niemi) suggests a different and more field theoretic 
approach to protein folding. See
https://www.researchgate.net/profile/Antti_Niemi/publications

1(b). There has been a nice success in applying topology via the 
embedded-graph paradigm for molecules. See
DNA Topology 
<https://www.google.com/search?client=safari&rls=en&q=DNA+Topology&ie=UTF-8&oe=UTF-8>
DNA Topology Kauffman and Lambropoulou] 
<https://www.google.com/search?client=safari&rls=en&q=DNA+Topology&ie=UTF-8&oe=UTF-8#q=DNA+Topology+Kauffman+and+Lambropoulou%5D>
It is in this domain, that I became interested in looking at the 
self-reproduction of DNA as an instance of an abstract self-replication 
schema. There is much more to be done here in linking this abstraction back
to the topology and to the actualities of the biology. The investigation 
led to a number of analogies with structure of quantum mechanics and 
this will in turn related to quantum topology. This is in development.

2. Further topological/geometric work is very possible. The sort of 
thing seen in Pivar could be examined for mathematical problems to be 
articulated. We are aware that biological forms must arise via 
self-assembly  and this is in itself a possibly new field of geometry! 
The simplest example of self-assembly as a model is the model of 
autopoesis of Maturana, Uribe and Varela from long ago. Their model 
shows how a two dimensional cell boundary can arise naturally from an 
abstract ‘chemical soup’.

3. While I do not agree with Max Tegmark that Mathematics is identical 
to Reality, I do believe that the key to actuality is in the essence of 
relationships. The essence of relationships is often accompanied by a 
mathematical essence or simple fundamental pattern. This is so striking 
in the case of DNA reproduction (e.g.) that I cannot help but feel that 
some real progress can occur in looking at that whole story from the 
abstract and recursive self-replication to how it is instantiated in the 
biology. The question in general is: What can we see about the way 
mathematical models are instantiated in actuality?!

I will stop here in the interest of brevity.

Best,

Lou
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