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The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction
BACKGROUND: With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations. In this paper, we propose a precisely designed sc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596923/ https://www.ncbi.nlm.nih.gov/pubmed/34789143 http://dx.doi.org/10.1186/s12864-021-07827-4 |
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author | Li, Mansheng He, Qiang Yang, Chunyuan Ma, Jie He, Fuchu Chen, Tao Zhu, Yunping |
author_facet | Li, Mansheng He, Qiang Yang, Chunyuan Ma, Jie He, Fuchu Chen, Tao Zhu, Yunping |
author_sort | Li, Mansheng |
collection | PubMed |
description | BACKGROUND: With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations. In this paper, we propose a precisely designed schema - PPIO (PPI Ontology) for representing the biological context of PPIs. RESULTS: Inspired by the event model and the distinct characteristics of PPI events, PPIO consists of six core aspects of the information required for reporting a PPI event, including the interactor (who), the biological process (when), the subcellular location (where), the interaction type (how), the biological function (what) and the detection method (which). PPIO is implemented through the integration of appropriate terms from the corresponding vocabularies/ontologies, e.g., Gene Ontology, Protein Ontology, PSI-MI/MOD, etc. To assess PPIO, an approach based on PPIO in developed to extract PPI biological annotations from an open standard corpus “BioCreAtIvE-PPI”. The experiment results demonstrate PPIO’s high performance, a precision of 0.69, a recall of 0.72 and an F-score of 0.70. CONCLUSIONS: PPIO is a well-constructed essential ontology in the interpretation of PPI biological context. The results of the experiments conducted on the BioCreAtIvE corpus demonstrate that PPIO is able to facilitate PPI annotation extraction from biomedical literature effectively and enrich essential annotation for PPIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07827-4. |
format | Online Article Text |
id | pubmed-8596923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85969232021-11-17 The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction Li, Mansheng He, Qiang Yang, Chunyuan Ma, Jie He, Fuchu Chen, Tao Zhu, Yunping BMC Genomics Research BACKGROUND: With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations. In this paper, we propose a precisely designed schema - PPIO (PPI Ontology) for representing the biological context of PPIs. RESULTS: Inspired by the event model and the distinct characteristics of PPI events, PPIO consists of six core aspects of the information required for reporting a PPI event, including the interactor (who), the biological process (when), the subcellular location (where), the interaction type (how), the biological function (what) and the detection method (which). PPIO is implemented through the integration of appropriate terms from the corresponding vocabularies/ontologies, e.g., Gene Ontology, Protein Ontology, PSI-MI/MOD, etc. To assess PPIO, an approach based on PPIO in developed to extract PPI biological annotations from an open standard corpus “BioCreAtIvE-PPI”. The experiment results demonstrate PPIO’s high performance, a precision of 0.69, a recall of 0.72 and an F-score of 0.70. CONCLUSIONS: PPIO is a well-constructed essential ontology in the interpretation of PPI biological context. The results of the experiments conducted on the BioCreAtIvE corpus demonstrate that PPIO is able to facilitate PPI annotation extraction from biomedical literature effectively and enrich essential annotation for PPIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07827-4. BioMed Central 2021-11-16 /pmc/articles/PMC8596923/ /pubmed/34789143 http://dx.doi.org/10.1186/s12864-021-07827-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Mansheng He, Qiang Yang, Chunyuan Ma, Jie He, Fuchu Chen, Tao Zhu, Yunping The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title | The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title_full | The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title_fullStr | The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title_full_unstemmed | The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title_short | The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
title_sort | protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596923/ https://www.ncbi.nlm.nih.gov/pubmed/34789143 http://dx.doi.org/10.1186/s12864-021-07827-4 |
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