Using statistical methods to model the fine-tuning of molecular machines and systems
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https://hdl.handle.net/10037/19569Date
2020-06-04Type
Journal articleTidsskriftartikkel
Abstract
Fine-tuning has received much attention in physics, and it states that the fundamental constants of physics are finely tuned to precise values for a rich chemistry and life permittance. It has not yet been applied in a broad manner to molecular biology. However, in this paper we argue that biological systems present fine-tuning at different levels, e.g. functional proteins, complex biochemical machines in living cells, and cellular networks. This paper describes molecular fine-tuning, how it can be used in biology, and how it challenges conventional Darwinian thinking. We also discuss the statistical methods underpinning fine-tuning and present a framework for such analysis.
Publisher
ElsevierCitation
Thorvaldsen S, Hössjer O. Using statistical methods to model the fine-tuning of molecular machines and systems. Journal of Theoretical Biology. 2020;501:1-14Metadata
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