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Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis
Post-translational modifications (PTMs) are crucial steps in protein synthesis and are important factors contributing to protein diversity. PTMs play important roles in the regulation of gene expression, protein stability and metabolism. Lysine residues in protein sequences have been found to be tar...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164654/ https://www.ncbi.nlm.nih.gov/pubmed/25222670 http://dx.doi.org/10.1371/journal.pone.0107464 |
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author | Zhang, Ning Zhou, You Huang, Tao Zhang, Yu-Chao Li, Bi-Qing Chen, Lei Cai, Yu-Dong |
author_facet | Zhang, Ning Zhou, You Huang, Tao Zhang, Yu-Chao Li, Bi-Qing Chen, Lei Cai, Yu-Dong |
author_sort | Zhang, Ning |
collection | PubMed |
description | Post-translational modifications (PTMs) are crucial steps in protein synthesis and are important factors contributing to protein diversity. PTMs play important roles in the regulation of gene expression, protein stability and metabolism. Lysine residues in protein sequences have been found to be targeted for both types of PTMs: sumoylations and acetylations; however, each PTM has a different cellular role. As experimental approaches are often laborious and time consuming, it is challenging to distinguish the two types of PTMs on lysine residues using computational methods. In this study, we developed a method to discriminate between sumoylated lysine residues and acetylated residues. The method incorporated several features: PSSM conservation scores, amino acid factors, secondary structures, solvent accessibilities and disorder scores. By using the mRMR (Maximum Relevance Minimum Redundancy) method and the IFS (Incremental Feature Selection) method, an optimal feature set was selected from all of the incorporated features, with which the classifier achieved 92.14% accuracy with an MCC value of 0.7322. Analysis of the optimal feature set revealed some differences between acetylation and sumoylation. The results from our study also supported the previous finding that there exist different consensus motifs for the two types of PTMs. The results could suggest possible dominant factors governing the acetylation and sumoylation of lysine residues, shedding some light on the modification dynamics and molecular mechanisms of the two types of PTMs, and provide guidelines for experimental validations. |
format | Online Article Text |
id | pubmed-4164654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41646542014-09-19 Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis Zhang, Ning Zhou, You Huang, Tao Zhang, Yu-Chao Li, Bi-Qing Chen, Lei Cai, Yu-Dong PLoS One Research Article Post-translational modifications (PTMs) are crucial steps in protein synthesis and are important factors contributing to protein diversity. PTMs play important roles in the regulation of gene expression, protein stability and metabolism. Lysine residues in protein sequences have been found to be targeted for both types of PTMs: sumoylations and acetylations; however, each PTM has a different cellular role. As experimental approaches are often laborious and time consuming, it is challenging to distinguish the two types of PTMs on lysine residues using computational methods. In this study, we developed a method to discriminate between sumoylated lysine residues and acetylated residues. The method incorporated several features: PSSM conservation scores, amino acid factors, secondary structures, solvent accessibilities and disorder scores. By using the mRMR (Maximum Relevance Minimum Redundancy) method and the IFS (Incremental Feature Selection) method, an optimal feature set was selected from all of the incorporated features, with which the classifier achieved 92.14% accuracy with an MCC value of 0.7322. Analysis of the optimal feature set revealed some differences between acetylation and sumoylation. The results from our study also supported the previous finding that there exist different consensus motifs for the two types of PTMs. The results could suggest possible dominant factors governing the acetylation and sumoylation of lysine residues, shedding some light on the modification dynamics and molecular mechanisms of the two types of PTMs, and provide guidelines for experimental validations. Public Library of Science 2014-09-15 /pmc/articles/PMC4164654/ /pubmed/25222670 http://dx.doi.org/10.1371/journal.pone.0107464 Text en © 2014 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Ning Zhou, You Huang, Tao Zhang, Yu-Chao Li, Bi-Qing Chen, Lei Cai, Yu-Dong Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title | Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title_full | Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title_fullStr | Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title_full_unstemmed | Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title_short | Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis |
title_sort | discriminating between lysine sumoylation and lysine acetylation using mrmr feature selection and analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164654/ https://www.ncbi.nlm.nih.gov/pubmed/25222670 http://dx.doi.org/10.1371/journal.pone.0107464 |
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