Classification of Complete Proteomes of Different Organisms and Protein Sets Based on Their Protein Distributions in Terms of Some Key Attributes of Proteins
Abstract
Here, the existence of complete genome sequences makes it important to develop different approaches for classification of large-scale data sets and to make extraction of biological insights easier. Here, we propose an approach for classification of complete proteomes/protein sets based on protein distributions on some basic attributes. We demonstrate the usefulness of this approach by determining protein distributions in terms of two attributes: protein lengths and protein intrinsic disorder contents (ID). The protein distributions based on L and ID are surveyed for representative proteome organisms and protein sets from the three domains of life. The two-dimensional maps (designated as fingerprints here) from the protein distribution densities in the LD space defined by ln(L) and ID are then constructed. The fingerprints for different organisms and protein sets are found to be distinct with each other, and they can therefore be used for comparative studies. As a test case, phylogenetic trees have been constructed based on the protein distribution densities in the fingerprints of proteomes of organisms without performing any protein sequence comparison and alignments. The phylogenetic trees generated are biologically meaningful, demonstrating that the protein distributions in the LD space may serve as unique phylogenetic signals of the organisms at themore »
- Authors:
-
[1];
[2];
[1]
- Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 3783, USA
- 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:
- 1423699
- Alternate Identifier(s):
- OSTI ID: 1468038
- Grant/Contract Number:
- SC0008834; AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- International Journal of Genomics
- Additional Journal Information:
- Journal Name: International Journal of Genomics Journal Volume: 2018; Journal ID: ISSN 2314-436X
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Egypt
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald A., Yang, Xiaohan, and Guo, Hong. Classification of Complete Proteomes of Different Organisms and Protein Sets Based on Their Protein Distributions in Terms of Some Key Attributes of Proteins. Egypt: N. p., 2018.
Web. doi:10.1155/2018/9784161.
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald A., Yang, Xiaohan, & Guo, Hong. Classification of Complete Proteomes of Different Organisms and Protein Sets Based on Their Protein Distributions in Terms of Some Key Attributes of Proteins. Egypt. https://doi.org/10.1155/2018/9784161
Guo, Hao-Bo, Ma, Yue, Tuskan, Gerald A., Yang, Xiaohan, and Guo, Hong. Mon .
"Classification of Complete Proteomes of Different Organisms and Protein Sets Based on Their Protein Distributions in Terms of Some Key Attributes of Proteins". Egypt. https://doi.org/10.1155/2018/9784161.
@article{osti_1423699,
title = {Classification of Complete Proteomes of Different Organisms and Protein Sets Based on Their Protein Distributions in Terms of Some Key Attributes of Proteins},
author = {Guo, Hao-Bo and Ma, Yue and Tuskan, Gerald A. and Yang, Xiaohan and Guo, Hong},
abstractNote = {Here, the existence of complete genome sequences makes it important to develop different approaches for classification of large-scale data sets and to make extraction of biological insights easier. Here, we propose an approach for classification of complete proteomes/protein sets based on protein distributions on some basic attributes. We demonstrate the usefulness of this approach by determining protein distributions in terms of two attributes: protein lengths and protein intrinsic disorder contents (ID). The protein distributions based on L and ID are surveyed for representative proteome organisms and protein sets from the three domains of life. The two-dimensional maps (designated as fingerprints here) from the protein distribution densities in the LD space defined by ln(L) and ID are then constructed. The fingerprints for different organisms and protein sets are found to be distinct with each other, and they can therefore be used for comparative studies. As a test case, phylogenetic trees have been constructed based on the protein distribution densities in the fingerprints of proteomes of organisms without performing any protein sequence comparison and alignments. The phylogenetic trees generated are biologically meaningful, demonstrating that the protein distributions in the LD space may serve as unique phylogenetic signals of the organisms at the proteome level.},
doi = {10.1155/2018/9784161},
journal = {International Journal of Genomics},
number = ,
volume = 2018,
place = {Egypt},
year = {Mon Jan 01 00:00:00 EST 2018},
month = {Mon Jan 01 00:00:00 EST 2018}
}
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Works referencing / citing this record:
A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon’s Information Theory
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