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Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.
 
Creator Singh, Harinder
Kumar, Rahul
Singh, Sandeep
Chaudhary, Kumardeep
Gautam, Ankur
Raghava, G.P.S.
 
Subject QR Microbiology
 
Description 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.
 
Publisher BIOMED CENTRAL
 
Date 2015
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/1833/1/87.pdf
Singh, Harinder and Kumar, Rahul and Singh, Sandeep and Chaudhary, Kumardeep and Gautam, Ankur and Raghava, G.P.S. (2015) Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines. BMC cancer, 16 (1). p. 77. ISSN 1471-2407
 
Relation http://bmccancer.biomedcentral.com/articles/10.1186/s12885-016-2082-y
http://crdd.osdd.net/open/1833/