@article{open1833,
          volume = {16},
          number = {1},
          author = {Harinder Singh and Rahul Kumar and Sandeep Singh and Kumardeep Chaudhary and Ankur Gautam and G.P.S. Raghava},
            note = {Open Access},
           title = {Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.},
       publisher = {BIOMED CENTRAL},
            year = {2015},
         journal = {BMC cancer},
           pages = {77},
        keywords = {Bioinformatics, cancer},
             url = {http://crdd.osdd.net/open/1833/},
        abstract = {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.}
}