O ajuste fino de máquinas e sistemas moleculares: mero acaso, fortuita necessidade ou design inteligente?

terça-feira, junho 23, 2020

Journal of Theoretical Biology

Volume 501, 21 September 2020, 110352

Using statistical methods to model the fine-tuning of molecular machines and systems

Authors Steinar Thorvaldsen a Ola Hössjer b

Dep. of Education, University of Tromsø, Norway

b Stockholm University, Dep. of Mathematics, Division of Mathematical Statistics, Sweden

Received 6 July 2019, Revised 26 May 2020, Accepted 27 May 2020, Available online 4 June 2020.


• Statistical methods are appropriate for modelling fine-tuning.

• Fine-tuning is detected in functional proteins, cellular networks etc.

• Constants and initial conditions of nature are deliberately tuned.

• Statistical analysis of fine-tuning model some of the categories of design.

• Fine-tuning and design deserve attention in the scientific community.


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.