Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Crasto, Chiquito, Luo, Dajie, Yu, Feliciano, Forero, Andres, Chen, Dongquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
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
_version_ 1782206245025873920
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
work_keys_str_mv AT crastochiquito gendruxabiomedicalliteraturesearchsystemtoidentifygeneexpressionbaseddrugsensitivityinbreastcancer
AT luodajie gendruxabiomedicalliteraturesearchsystemtoidentifygeneexpressionbaseddrugsensitivityinbreastcancer
AT yufeliciano gendruxabiomedicalliteraturesearchsystemtoidentifygeneexpressionbaseddrugsensitivityinbreastcancer
AT foreroandres gendruxabiomedicalliteraturesearchsystemtoidentifygeneexpressionbaseddrugsensitivityinbreastcancer
AT chendongquan gendruxabiomedicalliteraturesearchsystemtoidentifygeneexpressionbaseddrugsensitivityinbreastcancer