A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory
We propose a framework to convert the protein intrinsic disorder content to structural entropy (<i>H</i>) using Shannon’s information theory (IT). The structural capacity (<i>C</i>), which is the sum of <i>H</i> and structural information (<i>I</i>), i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/21/6/591 |
| _version_ | 1811300998062276608 |
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| author | Hao-Bo Guo Yue Ma Gerald A. Tuskan Hong Qin Xiaohan Yang Hong Guo |
| author_facet | Hao-Bo Guo Yue Ma Gerald A. Tuskan Hong Qin Xiaohan Yang Hong Guo |
| author_sort | Hao-Bo Guo |
| collection | DOAJ |
| description | We propose a framework to convert the protein intrinsic disorder content to structural entropy (<i>H</i>) using Shannon’s information theory (IT). The structural capacity (<i>C</i>), which is the sum of <i>H</i> and structural information (<i>I</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. |
| first_indexed | 2024-04-13T06:59:40Z |
| format | Article |
| id | doaj.art-5892e9f1e486444e9966ea0d3bec3051 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-13T06:59:40Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-5892e9f1e486444e9966ea0d3bec30512022-12-22T02:57:08ZengMDPI AGEntropy1099-43002019-06-0121659110.3390/e21060591e21060591A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information TheoryHao-Bo Guo0Yue Ma1Gerald A. Tuskan2Hong Qin3Xiaohan Yang4Hong Guo5Department of Computer Science and Engineering, SimCenter, University of Tennessee, Chattanooga, TN 37403, USADepartment of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USABiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USADepartment of Computer Science and Engineering, SimCenter, University of Tennessee, Chattanooga, TN 37403, USADepartment of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USADepartment of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USAWe propose a framework to convert the protein intrinsic disorder content to structural entropy (<i>H</i>) using Shannon’s information theory (IT). The structural capacity (<i>C</i>), which is the sum of <i>H</i> and structural information (<i>I</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.https://www.mdpi.com/1099-4300/21/6/591intrinsically disordered proteinsentropyinformation |
| spellingShingle | Hao-Bo Guo Yue Ma Gerald A. Tuskan Hong Qin Xiaohan Yang Hong Guo A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory Entropy intrinsically disordered proteins entropy information |
| title | A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory |
| title_full | A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory |
| title_fullStr | A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory |
| title_full_unstemmed | A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory |
| title_short | A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory |
| title_sort | suggestion of converting protein intrinsic disorder to structural entropy using shannon s information theory |
| topic | intrinsically disordered proteins entropy information |
| url | https://www.mdpi.com/1099-4300/21/6/591 |
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