The Thoughts of a Frumpy Professor

............................................ ............................................ A blog devoted to the ramblings of a small town, middle aged college professor as he experiences life and all its strange variances.

Monday, January 05, 2009

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Interesting Way To Make Discoveries

The following excerpt outlines a process in science called "Systems Biology" which they are suggesting is crucial to future advances in biomedical research. I agree completely and feel that the effort is one that should be applied to many more tiers and subdisciplines in biology as well. To me, this may be the next breakthrough in HOW to research in biology that follows the monumental breakthrough that Platt's 1964 paper "Strong Inference" had at that time.

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Published on 5 January 2009
by Insciences

Key to future medical breakthroughs is systems biology, say leading European scientists

Crucial breakthroughs in the treatment of many common diseases such as diabetes and Parkinson’s could be achieved by harnessing a powerful scientific approach called systems biology, according to leading scientists from across Europe. In a Science Policy Briefing released today by the European Science Foundation, the scientists provide a detailed strategy for the application of systems biology to medical research over the coming years.

Systems biology is a rapidly advancing field that combines empirical, mathematical and computational techniques to gain understanding of complex biological and physiological phenomena. For example, dozens, or even hundreds, of proteins can be involved in signaling processes that ensure the proper functioning of a cell. If such a signaling network is disturbed in any way, diseases such as cancer and diabetes can result.

Conventional approaches of biology do not have the capacity to unravel these elaborate webs of interactions, which is why drug design often fails. Simply knocking out one target molecule in a biochemical pathway is turning out to be a flawed strategy for drug design, because cells are able to find alternative routes. It is a similar scenario to setting up a roadblock: traffic will grind to a standstill for a short time, but soon motorists will start turning around and using side-roads to get to their destination. Just as the network of roads allows alternative routes to be used, the network of biochemical pathways can enable a disease to by-pass a drug.

Systems biology is now shedding light on these complex phenomena by producing detailed route maps of the subcellular networks. These will make it possible for scientists to develop smarter therapeutic strategies – for example by disrupting two or three key intersections on a biochemical network. This could lead to significant advances in the treatment of disease and help with the shrinking pipeline of pharmaceutical companies using traditional reductionist approaches to drug discovery.

The new policy document, produced by the Life Sciences and Medical Sciences units of the Strasbourg-based European Science Foundation (ESF) calls for a co-ordinated strategy towards systems biology across Europe. The scientists have pinpointed several key disease areas that are ripe for a systems biology approach. These include cancer and diabetes, inflammatory diseases and disorders of the central nervous system.

The report’s authors state that the recommendations outlined in the Science Policy Briefing provide a more specific, practical guide towards achieving major breakthroughs in biomedical systems biology, thereby covering issues that had not been previously addressed in sufficient detail. In particular we identify and outline the necessary steps of promoting the creation of pivotal biomedical systems biology tools and facilitating their translation into crucial therapeutic advances.

The report highlights some recent successes where mathematical modelling has played a key role. The conclusions from these examples are that success was achieved when quantitative data became available; that even simple mathematical models can be of practical use and that the interdisciplinary process leading to the formulation of a model is in itself of intrinsic value.


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I will need to think more and explore more to see if I can find an avenue to apply this thought process to my own research on neuroendocrine function.

PipeTobacco

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