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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.
Afiliação
  • Crasto C; Division of Research, Department of Genetics, Univ. of Alabama at Birmingham (UAB), USA.
BMC Med Inform Decis Mak ; 11: 28, 2011 May 05.
Article em En | MEDLINE | ID: mdl-21545721
ABSTRACT

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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Neoplasias da Mama / Expressão Gênica / Armazenamento e Recuperação da Informação Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Neoplasias da Mama / Expressão Gênica / Armazenamento e Recuperação da Informação Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article