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Prediction of Protein-Protein Interactions Based on Domain
Protein-protein interactions (PPIs) play a crucial role in various biological processes. To better comprehend the pathogenesis and treatments of various diseases, it is necessary to learn the detail of these interactions. However, the current experimental method still has many false-positive and fal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720845/ https://www.ncbi.nlm.nih.gov/pubmed/31531123 http://dx.doi.org/10.1155/2019/5238406 |
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author | Li, Xue Yang, Lifeng Zhang, Xiaopan Jiao, Xiong |
author_facet | Li, Xue Yang, Lifeng Zhang, Xiaopan Jiao, Xiong |
author_sort | Li, Xue |
collection | PubMed |
description | Protein-protein interactions (PPIs) play a crucial role in various biological processes. To better comprehend the pathogenesis and treatments of various diseases, it is necessary to learn the detail of these interactions. However, the current experimental method still has many false-positive and false-negative problems. Computational prediction of protein-protein interaction has become a more important prediction method which can overcome the obstacles of the experimental method. In this work, we proposed a novel computational domain-based method for PPI prediction, and an SVM model for the prediction was built based on the physicochemical property of the domain. The outcomes of SVM and the domain-domain score were used to construct the prediction model for protein-protein interaction. The predicted results demonstrated the domain-based research can enhance the ability to predict protein interactions. |
format | Online Article Text |
id | pubmed-6720845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-67208452019-09-17 Prediction of Protein-Protein Interactions Based on Domain Li, Xue Yang, Lifeng Zhang, Xiaopan Jiao, Xiong Comput Math Methods Med Research Article Protein-protein interactions (PPIs) play a crucial role in various biological processes. To better comprehend the pathogenesis and treatments of various diseases, it is necessary to learn the detail of these interactions. However, the current experimental method still has many false-positive and false-negative problems. Computational prediction of protein-protein interaction has become a more important prediction method which can overcome the obstacles of the experimental method. In this work, we proposed a novel computational domain-based method for PPI prediction, and an SVM model for the prediction was built based on the physicochemical property of the domain. The outcomes of SVM and the domain-domain score were used to construct the prediction model for protein-protein interaction. The predicted results demonstrated the domain-based research can enhance the ability to predict protein interactions. Hindawi 2019-08-21 /pmc/articles/PMC6720845/ /pubmed/31531123 http://dx.doi.org/10.1155/2019/5238406 Text en Copyright © 2019 Xue Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Xue Yang, Lifeng Zhang, Xiaopan Jiao, Xiong Prediction of Protein-Protein Interactions Based on Domain |
title | Prediction of Protein-Protein Interactions Based on Domain |
title_full | Prediction of Protein-Protein Interactions Based on Domain |
title_fullStr | Prediction of Protein-Protein Interactions Based on Domain |
title_full_unstemmed | Prediction of Protein-Protein Interactions Based on Domain |
title_short | Prediction of Protein-Protein Interactions Based on Domain |
title_sort | prediction of protein-protein interactions based on domain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720845/ https://www.ncbi.nlm.nih.gov/pubmed/31531123 http://dx.doi.org/10.1155/2019/5238406 |
work_keys_str_mv | AT lixue predictionofproteinproteininteractionsbasedondomain AT yanglifeng predictionofproteinproteininteractionsbasedondomain AT zhangxiaopan predictionofproteinproteininteractionsbasedondomain AT jiaoxiong predictionofproteinproteininteractionsbasedondomain |