A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory
Abstract
We propose a framework to convert the protein intrinsic disorder content to structural entropy (H) using Shannon’s information theory (IT). The structural capacity (C), which is the sum of H and structural information (I), is equal to the amino acid sequence length of the protein. The structural entropy of the residues expands a continuous spectrum, ranging from 0 (fully ordered) to 1 (fully disordered), consistent with Shannon’s IT, which scores the fully-determined state 0 and the fully-uncertain state 1. The intrinsically disordered proteins (IDPs) in a living cell may participate in maintaining the high-energy-low-entropy state. In addition, under this framework, the biological functions performed by proteins and associated with the order or disorder of their 3D structures could be explained in terms of information-gains or entropy-losses, or the reverse processes.
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1529406
- Alternate Identifier(s):
- OSTI ID: 1545575
- Grant/Contract Number:
- SC0008834; AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- Entropy
- Additional Journal Information:
- Journal Name: Entropy Journal Volume: 21 Journal Issue: 6; Journal ID: ISSN 1099-4300
- Publisher:
- MDPI AG
- Country of Publication:
- Switzerland
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; intrinsically disordered proteins; entropy; information
Citation Formats
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald, Qin, Hong, Yang, Xiaohan, and Guo, Hong. A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory. Switzerland: N. p., 2019.
Web. doi:10.3390/e21060591.
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald, Qin, Hong, Yang, Xiaohan, & Guo, Hong. A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory. Switzerland. https://doi.org/10.3390/e21060591
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald, Qin, Hong, Yang, Xiaohan, and Guo, Hong. Fri .
"A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory". Switzerland. https://doi.org/10.3390/e21060591.
@article{osti_1529406,
title = {A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory},
author = {Guo, Hao-Bo and Ma, Yue and Tuskan, Gerald and Qin, Hong and Yang, Xiaohan and Guo, Hong},
abstractNote = {We propose a framework to convert the protein intrinsic disorder content to structural entropy (H) using Shannon’s information theory (IT). The structural capacity (C), which is the sum of H and structural information (I), is equal to the amino acid sequence length of the protein. The structural entropy of the residues expands a continuous spectrum, ranging from 0 (fully ordered) to 1 (fully disordered), consistent with Shannon’s IT, which scores the fully-determined state 0 and the fully-uncertain state 1. The intrinsically disordered proteins (IDPs) in a living cell may participate in maintaining the high-energy-low-entropy state. In addition, under this framework, the biological functions performed by proteins and associated with the order or disorder of their 3D structures could be explained in terms of information-gains or entropy-losses, or the reverse processes.},
doi = {10.3390/e21060591},
journal = {Entropy},
number = 6,
volume = 21,
place = {Switzerland},
year = {Fri Jun 14 00:00:00 EDT 2019},
month = {Fri Jun 14 00:00:00 EDT 2019}
}
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