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A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature

When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increas...

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Detalles Bibliográficos
Autores principales: Zhang, Yijia, Lin, Hongfei, Yang, Zhihao, Wang, Jian, Li, Yanpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486804/
https://www.ncbi.nlm.nih.gov/pubmed/23133662
http://dx.doi.org/10.1371/journal.pone.0048901
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author Zhang, Yijia
Lin, Hongfei
Yang, Zhihao
Wang, Jian
Li, Yanpeng
author_facet Zhang, Yijia
Lin, Hongfei
Yang, Zhihao
Wang, Jian
Li, Yanpeng
author_sort Zhang, Yijia
collection PubMed
description When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increasingly difficult for DDIs database curators to detect and collate DDIs information manually. In this paper, we propose a single kernel-based approach to extract DDIs from biomedical literature. This novel kernel-based approach can effectively make full use of syntactic structural information of the dependency graph. In particular, our approach can efficiently represent both single subgraph topological information and the relation of two subgraphs in the dependency graph. Experimental evaluations showed that our single kernel-based approach can achieve state-of-the-art performance on the publicly available DDI corpus without exploiting multiple kernels or additional domain resources.
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spelling pubmed-34868042012-11-06 A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature Zhang, Yijia Lin, Hongfei Yang, Zhihao Wang, Jian Li, Yanpeng PLoS One Research Article When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increasingly difficult for DDIs database curators to detect and collate DDIs information manually. In this paper, we propose a single kernel-based approach to extract DDIs from biomedical literature. This novel kernel-based approach can effectively make full use of syntactic structural information of the dependency graph. In particular, our approach can efficiently represent both single subgraph topological information and the relation of two subgraphs in the dependency graph. Experimental evaluations showed that our single kernel-based approach can achieve state-of-the-art performance on the publicly available DDI corpus without exploiting multiple kernels or additional domain resources. Public Library of Science 2012-11-01 /pmc/articles/PMC3486804/ /pubmed/23133662 http://dx.doi.org/10.1371/journal.pone.0048901 Text en © 2012 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, Yijia
Lin, Hongfei
Yang, Zhihao
Wang, Jian
Li, Yanpeng
A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title_full A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title_fullStr A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title_full_unstemmed A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title_short A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
title_sort single kernel-based approach to extract drug-drug interactions from biomedical literature
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486804/
https://www.ncbi.nlm.nih.gov/pubmed/23133662
http://dx.doi.org/10.1371/journal.pone.0048901
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