Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.
IR@IMTECH: CSIR-Institute of Microbial Technology, Chandigarh
View Archive Info| Field | Value | |
| Title |
Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.
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| Creator |
Singh, Harinder
Kumar, Rahul Singh, Sandeep Chaudhary, Kumardeep Gautam, Ankur Raghava, G.P.S. |
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| Subject |
QR Microbiology
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| 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.
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| Publisher |
BIOMED CENTRAL
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| Date |
2015
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| 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 |
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| Relation |
http://bmccancer.biomedcentral.com/articles/10.1186/s12885-016-2082-y
http://crdd.osdd.net/open/1833/ |
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