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Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition
Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which makes the rate of cell proliferation and death reach a relative balance. The function of apoptosis protein is closely related to its subcellular location, it is of great significance to study the subcellu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011625/ https://www.ncbi.nlm.nih.gov/pubmed/36926588 http://dx.doi.org/10.3389/fgene.2023.1157021 |
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author | Su, Wenxia Deng, Shuyi Gu, Zhifeng Yang, Keli Ding, Hui Chen, Hui Zhang, Zhaoyue |
author_facet | Su, Wenxia Deng, Shuyi Gu, Zhifeng Yang, Keli Ding, Hui Chen, Hui Zhang, Zhaoyue |
author_sort | Su, Wenxia |
collection | PubMed |
description | Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which makes the rate of cell proliferation and death reach a relative balance. The function of apoptosis protein is closely related to its subcellular location, it is of great significance to study the subcellular locations of apoptosis proteins. Many efforts in bioinformatics research have been aimed at predicting their subcellular location. However, the subcellular localization of apoptotic proteins needs to be carefully studied. Methods: In this paper, based on amphiphilic pseudo amino acid composition and support vector machine algorithm, a new method was proposed for the prediction of apoptosis proteins\x{2019} subcellular location. Results and Discussion: The method achieved good performance on three data sets. The Jackknife test accuracy of the three data sets reached 90.5%, 93.9% and 84.0%, respectively. Compared with previous methods, the prediction accuracies of APACC_SVM were improved. |
format | Online Article Text |
id | pubmed-10011625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100116252023-03-15 Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition Su, Wenxia Deng, Shuyi Gu, Zhifeng Yang, Keli Ding, Hui Chen, Hui Zhang, Zhaoyue Front Genet Genetics Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which makes the rate of cell proliferation and death reach a relative balance. The function of apoptosis protein is closely related to its subcellular location, it is of great significance to study the subcellular locations of apoptosis proteins. Many efforts in bioinformatics research have been aimed at predicting their subcellular location. However, the subcellular localization of apoptotic proteins needs to be carefully studied. Methods: In this paper, based on amphiphilic pseudo amino acid composition and support vector machine algorithm, a new method was proposed for the prediction of apoptosis proteins\x{2019} subcellular location. Results and Discussion: The method achieved good performance on three data sets. The Jackknife test accuracy of the three data sets reached 90.5%, 93.9% and 84.0%, respectively. Compared with previous methods, the prediction accuracies of APACC_SVM were improved. Frontiers Media S.A. 2023-02-28 /pmc/articles/PMC10011625/ /pubmed/36926588 http://dx.doi.org/10.3389/fgene.2023.1157021 Text en Copyright © 2023 Su, Deng, Gu, Yang, Ding, Chen and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Su, Wenxia Deng, Shuyi Gu, Zhifeng Yang, Keli Ding, Hui Chen, Hui Zhang, Zhaoyue Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title | Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title_full | Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title_fullStr | Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title_full_unstemmed | Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title_short | Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
title_sort | prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011625/ https://www.ncbi.nlm.nih.gov/pubmed/36926588 http://dx.doi.org/10.3389/fgene.2023.1157021 |
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