TY - JOUR
T1 - GenDrux
T2 - A biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer
AU - Crasto, Chiquito
AU - Luo, Dajie
AU - Yu, Feliciano
AU - Forero, Andres
AU - Chen, Dongquan
N1 - Funding Information:
The authors would like to thank colleagues from the UAB DOPM, CCC and WVU CTSI for helpful comments and discussions; Laura T. Gallitz and Claire S. Chen for proof reading. This work has been partially supported by UAB-CCTS (CTSA) to CC and DC, NIH R21DC011068-01 (NIDCD), NIH P30HD038985-06A2 and NIH R21At004661-02S1 to CC and institutional funding to WVU CTSI to DC.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79955552150&partnerID=8YFLogxK
U2 - 10.1186/1472-6947-11-28
DO - 10.1186/1472-6947-11-28
M3 - Article
C2 - 21545721
AN - SCOPUS:79955552150
SN - 1472-6947
VL - 11
JO - BMC Medical Informatics and Decision Making
JF - BMC Medical Informatics and Decision Making
IS - 1
M1 - 28
ER -