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Title: | Computer-aided prediction and cytotoxicity evaluation of dithiocarbamates of 9,10-anthracenedione as new anticancer agents |
Authors: | Stasevych, Maryna Zvarych, Viktor Lunin, Volodymyr Deniz, Nahide Gülşah Gökmen, Zeliha Ulukaya, Engin Poroikov, V. Gloriozova, Tatyana Novikov, Volodymyr Uludağ Üniversitesi/Fen-Edebiyet Fakültesi/Biyoloji Bölümü. 0000-0002-8410-1786 Akgün, Oğuzhan A-5608-2019 57194269996 |
Keywords: | Chemistry Computer science Environmental sciences & ecology Mathematical & computational biology Toxicology Anticancer activity Cell line cytotoxicity predictor computer-aided prediction Dithiocarbamates of 9, 10-anthracenedione PASS PharmaExpert Derivatives Chemistry |
Issue Date: | 24-Apr-2017 |
Publisher: | Taylor & Francis |
Citation: | Stasevych, M. vd. (2017). ''Computer-aided prediction and cytotoxicity evaluation of dithiocarbamates of 9,10-anthracenedione as new anticancer agents''. SAR and QSAR in Environmental Research, 28(5), 355-366. |
Abstract: | Anticancer activity as an associated action for a series of dithiocarbamates of 9,10-anthracenedione was predicted using the PASS computer program and analysed with PharmaExpert software. The predicted cytotoxic activity of the dithiocarbamate derivatives of 9,10-anthracenedione was evaluated in vitro on cancer cells of the human lung (A549), prostate (PC3), colon (HT29) and human breast (MCF7) using the sulforhodamine B (SRB) cell viability assay. Among these compounds, 9,10-dioxo-9,10-dihydroanthracen-1-yl pyrrolidin-1-carbodithioate and 9,10-dioxo-9,10-dihydroanthracen-2-yl pyrrolidin-1-carbodithioate were identified as the most potent anticancer agents with cytotoxic activity against the MCF-7 human breast cell line with GI(50) values of 1.40 M and 1.52 M, whereas the GI(50) value for the reference anticancer drug mitoxantrone was 3.93 M. Thus, anticancer activity predicted by PASS with a probability Pa > 30% was confirmed by the experiment. Relatively small Pa values estimated by PASS indicated the novelty of the considered derivatives comparing to the compounds from the PASS training set. |
URI: | https://doi.org/10.1080/1062936X.2017.1323796 https://www.tandfonline.com/doi/full/10.1080/1062936X.2017.1323796 http://hdl.handle.net/11452/29348 |
ISSN: | 1062-936X 1029-046X |
Appears in Collections: | Scopus Web of Science |
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