Jump to content

Talk:Systems biology

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by 2a02:810d:af3f:ec88:516a:e67:44b8:6d37 (talk) at 13:40, 7 January 2017 (Please define "Paradigm"!!!!!!). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Reference to Bertalanffy

Could the author who introduced the reference to Bertalanffy's book check again. Such a book does not exist. —Preceding unsigned comment added by 139.30.6.52 (talk) 14:34, 17 August 2009 (UTC)[reply]

You are right. I modified the reference to the most widespread book of Von Bertalanffy. Nicolas Le Novere (talk) 21:39, 5 April 2010 (UTC)[reply]

Explaining vs. Describing

"In 1952, the British neurophysiologists and nobel prize winners Alan Lloyd Hodgkin and Andrew Fielding Huxley constructed a mathematical model explaining the action potential propagating along the axon of a neuronal cell"

The H-H model does not explain the phenomenon-explanandum of the AP. In fact, most biologists would agree that there are no explanatory laws in biology. Rather, biology explains mechanistically (cf. with systems biology); see the wikipedia entry "mechanisms (biology)". Consistent with this, neurophysiologists spent quite a bit of time and energy attempting to say why the H-H equations are they way they are. Thus, I changed "explaining" to "describing." 76.24.28.237 02:48, 12 November 2007 (UTC)[reply]

Well, this is not quite true. The difference between Hodgkin-Huxley's approach and classical physiology is that they based their model on an explanatory mechanism. This is not just curve-fitting, i.e. they do not describe. They predicted the existence of different ionic channels in the membrane conducting sodium and potassium. They explained how they worked, i.e. how their conductance evolved with the transmembrane voltage, and how that conductance, coupled with the electrochemical gradients explained the evolution of the currents, and the resulting depolarisation. And this is not the neurophysiologists who confirmed H-H mechanism but biochemist and molecular biologists. Not only H-H was the first predictive model, but it still holds firm more than 50 years afterward. There was actually a controversy in 2006 after the publication in Nature of a paper describing a possible different mechanism (based on lateral influence between channels), and after a bit of discussion, it seems that the observations could still be explained by a regular H-H. H-H is definitively not just a quantitative description, but an explanation Nicolas Le Novere (talk) 23:18, 15 December 2007 (UTC)[reply]
Whether it explains or describes, it is foolish to suggest that H-H's model was groundbreaking in a philosophical sense, or that it was the first predictive model in biology.. Haven't you ever heard of Mendelian genetics? Zargulon (talk) 22:39, 16 December 2007 (UTC)[reply]

This is a completely different subject. Mendelian genetics is a biological model. Many mathematical models were developed, to explain individual or population genetics. But the equivalent to H-H's work would be the first computer simulation of gene transmission in families or populations. There were a very large number of such simulations, but all designed after H-H. As far as I know, H-H's work is really the first simulation of a biological process. In fact, such a simulation was wished by Turing in his famous paper on morphogens, published the same year: "One would like to be able to follow this more general process mathematically also. The difficulties are, however, such that one cannot hope to have any very embracing theory of such processes, beyond the statement of the equations. It might be possible, however, to treat a few particular cases in detail with the aid of a digital computer. This method has the advantage that it is not so necessary to make simplifying assumptions as it is when doing a more theoretical type of analysis." Nicolas Le Novere (talk) 09:57, 19 December 2007 (UTC)[reply]

Your distinction is completely arbitrary.. Mendelian genetics is just as 'mathematical' as subsequent genetic models.. the mathematics is simpler and the accuracy lower due to unsophistication and systematic error.. but it is not categorically different either from more sophisticated genetic models or, indeed, from H-H. Zargulon (talk) 10:19, 19 December 2007 (UTC)[reply]

Mathematical biology

I stumbled across a well done page Mathematical biology going thorugh several useless "computational" pages, where authors forget that computer is just a tool to do the maths. More articles should be merged or linked to this. Plus mathematical models are actually what ppl call them, eg. Chen 2004 yeast cell cycle model. --Squidonius (talk) 19:02, 20 November 2007 (UTC)[reply]

Computer are not just tools to do the maths. One could actually argue that when it comes to simulation, they are prettey bad at doing math (symolic logic is different). Mathematical Biology is actually different than Computational Biology. The tools are different, the community are differents and the questions to address are sometimes different. And the same mathematical model can result in a wide diversity of computer simulations, according to the approach chosen (deterministic Vs stochastic, continuous Vs discrete etc). Chen 2004 is a good example. Table 1 gives the differential equations resulting from the chemical reactions, but the figures are all obtained, not by a mathematical treatment, but by a numerical simulation using a software called XPP. The results strongle depends on the solver used by the simulator. If you change the solver you may get different results (Often the case with complex models using reactions, rules and events). If you use a stochastic simulator (after unfolding the non-elementary reactions) you will definitiverly get different results. Nicolas Le Novere (talk) 23:28, 15 December 2007 (UTC)[reply]
One could of course come up with a definition of "doing math" that computers would be "pretty bad at". But can you really name any mathematical biologists who wouldn't try to evaluate the consequences of their models using any computational treatment, including stochastic methods, if it helps? Or any computational biologists who don't give any thought to the structure of the models that they simulate? If there is a distinction between these two pursuits I don't think you are doing justice to its subtlety. Zargulon (talk) 22:47, 16 December 2007 (UTC)[reply]

"an you really name any mathematical biologists who wouldn't try to evaluate the consequences of their models using any computational treatment". Yes, plenty. I am fighting them on a regular basis when it comes to decide government scientific policy. Extract from some conversations with mathematicians, now heads of "Systems Biology" institutes: "Who needs simulations and computers. I can model human metabolism with two conservation laws. DR" "Computer simulation tools are bad. They allow biologists to think they are doing relevant models, instead of letting the job to specialists. JS" Actually, in some countries like France and Belgium, the communities of biomathematics and computational biology are very different, the former being by far more powerful. And it is not foreign to the fact that those countries completely missed the bioinformatics revolution in the 80s and 90s. And we are witnessing exactly the same situation with systems biology, where all the efforts are going to qualitative modelling (boolean and logical modelling, petri-net, pi-calculus etc.) The inverse is not true. You are right saying that most of the simulation work is backed-up by mathematical description. "Most of", because this is not the case of agent-based methods, that have no mathematical counterparts. Nicolas Le Novere (talk) 10:08, 19 December 2007 (UTC)[reply]

I hope you win! JS wouldn't be a certain Jaroslav Stark by any chance ? .. Zargulon (talk) 10:21, 19 December 2007 (UTC)[reply]

List of Systems Biology Research Groups moved

The former "List of Systems Biology Research Groups" is moved to Wikipedia:WikiProject Systems/List of Systems Biology Research Groups. Anybody can still add there information over there. Thank you. -- Mdd (talk) 23:18, 8 April 2008 (UTC)[reply]

I'm a bit confused about the Bio systems AFD, so I've asked User:Neil for a comment - I don't know him very well, but I believe he's active on AFD a lot. I've also unlinked mainspace references to the wikiproject page - it's a valid resource for the wikiproject, but it kinda avoids the whole point of an AFD if its still linked as a mainspace article. I'll be cross-posting this on related pages touched by the discussion to see what kind of input comes up. WLU (talk) 00:15, 9 April 2008 (UTC)[reply]

diagrams

Diagrams shown are much too small to read on screen or printout. Unnecessary black background is wasteful of expensive printer ink.Jnbelcantu (talk) 19:25, 25 August 2009 (UTC)[reply]

Please define "Paradigm"!!!!!!

"Other sources consider systems biology as a paradigm, usually defined in antithesis to the so-called reductionist paradigm (biological organisation)..."

I have read through the whole wiki article about the definition of "paradigm", but I still cannot found it meaning in the context of the sentence.

Paradigm can be simply defined as: "philosophical or theorectical framework of any kind"

If I put this equivalent into the sentence, it is:

"Other sources consider systems biology as a theoretical framework, usually defined in antithesis to the so-called reductionist theoretical framework(biological organisation)..."

The point is, system biology is considered as what theoretical framework?

As a holistic theoretical framework?

or a "(conceptual) protogramme for reducing the chaotic mass to some form of order)"

 —Preceding unsigned comment added by Snoopydoghk (talkcontribs) 15:04, 18 October 2009 (UTC)[reply] 

I am not sure if it is fortunate to talk about systems biology vs. reductionism as some antagonistic scientific views. The scientific approach must utilize both: first reducing the (purifying) system into elements you can study in detail(in dialmat it is called analysis) , then trying to put things together (called synthesis). —Preceding unsigned comment added by 78.139.7.218 (talk) 03:32, 17 September 2010 (UTC)[reply]

Most normal people agree with you. However systems biology was promoted, at least in its initial stages, by emphasizing the contrast between holism and reductionism. Zargulon (talk) 14:44, 9 December 2011 (UTC)[reply]

It might be useful to include an applications section at the end of the article so that readers may better understand what to do with the information presented. Also, it is important to define terms such as "reductionism" on this page so that it is accessible to a wide variety of readers. Lastly, including a section on the Human Genome Project may be of interest as it pertains to the systems biology of genetics. — Preceding unsigned comment added by Malloy.65 (talkcontribs) 04:05, 1 October 2014 (UTC)[reply]

Avoid repetions

in "Histoy": In 2002, the National Science Foundation (NSF) put forward a grand challenge for systems biology in the 21st century to build a mathematical model of the whole cell.[26] In 2003, work at the Massachusetts Institute of Technology was begun on CytoSolve, a method to model the whole cell by dynamically integrating multiple molecular pathway models.[27][28] Since then, various research institutes dedicated to systems biology have been developed. For example, the NIGMS of NIH established a project grant that is currently supporting over ten systems biology centers in the United States.[29] As of summer 2006, due to a shortage of people in systems biology[30] several doctoral training programs in systems biology have been established in many parts of the world. In that same year, the National Science Foundation (NSF) put forward a grand challenge for systems biology in the 21st century to build a mathematical model of the whole cell.[31] In 2012 the first....