Using Entropy Leads to a Better Understanding of Biological Systems
Abstract
:1. Introduction
2. A Comprehensive Perspective
2.1. The Core Aspect: Rules of Probability Theory, the Method of Maximum Entropy and Information Geometry
2.2. Comments
3. From Principles of Inference to Protein Folding Dynamics
3.1. Introduction
3.2. Theory
3.3. Folding Trajectories of Trp-Cage
3.4. Discussion
4. The Relative Importance of Tubulin Isotypes Unveiled by the Maximum Entropy Approach
4.1. Introduction
Cell Line | Origin | Media |
---|---|---|
A549 | Human lung carcinoma | RPMI with 10% fetal bovine serum (FBS) |
MCF-7 | Human mammary gland adenocarcinoma | RPMI with 10% FBS |
CEM | Human T-lymphoblastoid from ALL | RPMI with 10% FBS |
HeLa | Human cervical carcinoma | DMEM with 10% FBS |
M006X | Human glioma cells | DMEM-F12 with 10% FBS and 1% Glutamine |
M010B | Human glioma cells | DMEM-F12 with 10% FBS and 1% Glutamine |
4.2. Method
4.3. Results and Discussion
5. Entropic Fragment Based Aptamer Design
5.1. Introduction
5.2. Theory
5.3. Results and Discussions
5.4. Comments
6. Conclusions
Acknowledgements
References
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Tseng, C.-Y.; Tuszynski, J.A. Using Entropy Leads to a Better Understanding of Biological Systems. Entropy 2010, 12, 2450-2469. https://doi.org/10.3390/e12122450
Tseng C-Y, Tuszynski JA. Using Entropy Leads to a Better Understanding of Biological Systems. Entropy. 2010; 12(12):2450-2469. https://doi.org/10.3390/e12122450
Chicago/Turabian StyleTseng, Chih-Yuan, and Jack A. Tuszynski. 2010. "Using Entropy Leads to a Better Understanding of Biological Systems" Entropy 12, no. 12: 2450-2469. https://doi.org/10.3390/e12122450