hdl:10101/npre.2008.1770.1
1 vote
Document Type:
Manuscript
Date:
Received 06 April 2008 17:50 UTC; Posted 08 April 2008
Subjects:
Biotechnology
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Abstract:

A recent essay on biology’s next revolution described attributes of a future theory of biology that would replace post hoc modeling with an interplay between quantitative prediction and experimental test, more characteristic of the physical sciences1. The article suggested that flux from the environment whether it be energy, chemicals metabolites, or genes is a defining characteristic of life. The essay also suggests that an interdisciplinary approach to collective phenomena centered on statistical mechanics and dynamical systems theory will be required to make use of this perspective. Over the last 30 years we have developed an approach to drug discovery and translational research that is based on a paradigm for complex systems modeling that fits the description in the essay. The approach is a new paradigm because it focuses on the control of non-equilibrium flux, rather than genes. It has now been used to identify potential therapies for unmet medical needs that are currently being tested in phase II clinical trials.

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This document is licensed to the public under the Creative Commons Attribution 3.0 License
How to cite this document:

Young, Fredric. A Paradigm for Biology’s Next Revolution. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2008.1770.1> (2008)

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