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GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer
BACKGROUND: This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the relevant biomedical literature using automated methods. GenDrux is designed to alle...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116456/ https://www.ncbi.nlm.nih.gov/pubmed/21545721 http://dx.doi.org/10.1186/1472-6947-11-28 |
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author | Crasto, Chiquito Luo, Dajie Yu, Feliciano Forero, Andres Chen, Dongquan |
author_facet | Crasto, Chiquito Luo, Dajie Yu, Feliciano Forero, Andres Chen, Dongquan |
author_sort | Crasto, Chiquito |
collection | PubMed |
description | BACKGROUND: This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the relevant biomedical literature using automated methods. GenDrux is designed to alleviate the difficulties of manually processing the vast biomedical literature to identify disease-gene-drug relationships. GenDrux will evolve with the literature without additional algorithmic modifications. RESULTS: GenDrux, a pilot system, is developed in the domain of breast cancer and can be accessed at http://www.microarray.uab.edu/drug_gene.pl. GenDrux can be queried based on drug, gene and/or disease name. From over 8,000 relevant abstracts from the biomedical literature related to breast cancer, we have archived a corpus of more than 4,000 articles that depict gene expression-drug activity relationships for breast cancer and related cancers. The archiving process has been automated. CONCLUSIONS: The successful development, implementation, and evaluation of this and similar systems when created may provide clinicians with a tool for literature management, clinical decision making, thus setting the platform for personalized therapy in the future. |
format | Online Article Text |
id | pubmed-3116456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31164562011-06-17 GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer Crasto, Chiquito Luo, Dajie Yu, Feliciano Forero, Andres Chen, Dongquan BMC Med Inform Decis Mak Software BACKGROUND: This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the relevant biomedical literature using automated methods. GenDrux is designed to alleviate the difficulties of manually processing the vast biomedical literature to identify disease-gene-drug relationships. GenDrux will evolve with the literature without additional algorithmic modifications. RESULTS: GenDrux, a pilot system, is developed in the domain of breast cancer and can be accessed at http://www.microarray.uab.edu/drug_gene.pl. GenDrux can be queried based on drug, gene and/or disease name. From over 8,000 relevant abstracts from the biomedical literature related to breast cancer, we have archived a corpus of more than 4,000 articles that depict gene expression-drug activity relationships for breast cancer and related cancers. The archiving process has been automated. CONCLUSIONS: The successful development, implementation, and evaluation of this and similar systems when created may provide clinicians with a tool for literature management, clinical decision making, thus setting the platform for personalized therapy in the future. BioMed Central 2011-05-05 /pmc/articles/PMC3116456/ /pubmed/21545721 http://dx.doi.org/10.1186/1472-6947-11-28 Text en Copyright ©2011 Crasto et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Crasto, Chiquito Luo, Dajie Yu, Feliciano Forero, Andres Chen, Dongquan GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title | GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title_full | GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title_fullStr | GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title_full_unstemmed | GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title_short | GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
title_sort | gendrux: a biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116456/ https://www.ncbi.nlm.nih.gov/pubmed/21545721 http://dx.doi.org/10.1186/1472-6947-11-28 |
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