GenDrux: A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer

Chiquito Crasto, Dajie Luo, Feliciano Yu, Andres Forero, Dongquan Chen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Article number28
JournalBMC Medical Informatics and Decision Making
Volume11
Issue number1
DOIs
StatePublished - 2011

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