Entropy 2010, 12(12), 2450-2469; doi:10.3390/e12122450
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Using Entropy Leads to a Better Understanding of Biological Systems

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Received: 4 November 2010; in revised form: 7 December 2010 / Accepted: 15 December 2010 / Published: 17 December 2010
(This article belongs to the Special Issue Emergence in Chemical Systems)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In studying biological systems, conventional approaches based on the laws of physics almost always require introducing appropriate approximations. We argue that a comprehensive approach that integrates the laws of physics and principles of inference provides a better conceptual framework than these approaches to reveal emergence in such systems. The crux of this comprehensive approach hinges on entropy. Entropy is not merely a physical quantity. It is also a reasoning tool to process information with the least bias. By reviewing three distinctive examples from protein folding dynamics to drug design, we demonstrate the developments and applications of this comprehensive approach in the area of biological systems.
Keywords: entropy; inference; folding dynamics; tubulin expression level; aptamer
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MDPI and ACS Style

Tseng, C.-Y.; Tuszynski, J.A. Using Entropy Leads to a Better Understanding of Biological Systems. Entropy 2010, 12, 2450-2469.

AMA Style

Tseng C-Y, Tuszynski JA. Using Entropy Leads to a Better Understanding of Biological Systems. Entropy. 2010; 12(12):2450-2469.

Chicago/Turabian Style

Tseng, Chih-Yuan; Tuszynski, Jack A. 2010. "Using Entropy Leads to a Better Understanding of Biological Systems." Entropy 12, no. 12: 2450-2469.

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