Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29348
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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