TY  - JOUR
N1  - Open Access
ID  - open1833
UR  - http://bmccancer.biomedcentral.com/articles/10.1186/s12885-016-2082-y
IS  - 1
A1  - Singh, Harinder
A1  - Kumar, Rahul
A1  - Singh, Sandeep
A1  - Chaudhary, Kumardeep
A1  - Gautam, Ankur
A1  - Raghava, G.P.S.
Y1  - 2015///
N2  - In past, numerous quantitative structure-activity relationship (QSAR) based models have been developed for predicting anticancer activity for a specific class of molecules against different cancer drug targets. In contrast, limited attempt have been made to predict the anticancer activity of a diverse class of chemicals against a wide variety of cancer cell lines. In this study, we described a hybrid method developed on thousands of anticancer and non-anticancer molecules tested against National Cancer Institute (NCI) 60 cancer cell lines.
PB  - BIOMED CENTRAL
JF  - BMC cancer
VL  - 16
KW  - Bioinformatics
KW  -  cancer
SN  - 1471-2407
TI  - Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.
ER  -