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dc.contributor.authorPOROIKOV, V.
dc.contributor.authorDeniz, NAHİDE GÜLŞAH
dc.contributor.authorNOVIKOV, V.
dc.contributor.authorGokmen, Z.
dc.contributor.authorSTASEVYCH, M.
dc.contributor.authorZVARYCH, V.
dc.contributor.authorLUNIN, V.
dc.contributor.authorAkgun, O.
dc.contributor.authorGLORIOZOVA, T.
dc.contributor.authorUlukaya, E.
dc.date.accessioned2021-03-05T17:42:37Z
dc.date.available2021-03-05T17:42:37Z
dc.date.issued2017
dc.identifier.citationSTASEVYCH M., ZVARYCH V., LUNIN V., Deniz N. G. , Gokmen Z., Akgun O., Ulukaya E., POROIKOV V., GLORIOZOVA T., NOVIKOV V., "Computer-aided prediction and cytotoxicity evaluation of dithiocarbamates of 9,10-anthracenedione as new anticancer agents", SAR AND QSAR IN ENVIRONMENTAL RESEARCH, cilt.28, ss.355-366, 2017
dc.identifier.issn1062-936X
dc.identifier.othervv_1032021
dc.identifier.otherav_c6e18c5e-0cf7-4e9f-9783-530a6cb03609
dc.identifier.urihttp://hdl.handle.net/20.500.12627/131833
dc.identifier.urihttps://doi.org/10.1080/1062936x.2017.1323796
dc.description.abstractAnticancer 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.
dc.language.isoeng
dc.subjectÇevre Mühendisliği
dc.subjectBilgisayar Grafiği
dc.subjectYaşam Bilimleri
dc.subjectBiyoinformatik
dc.subjectAlkoloidler
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectBilgisayar Bilimleri
dc.subjectKİMYA, MULTİDİSİPLİNER
dc.subjectKimya
dc.subjectTemel Bilimler (SCI)
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectÇEVRE BİLİMLERİ
dc.subjectÇevre / Ekoloji
dc.subjectTarım ve Çevre Bilimleri (AGE)
dc.subjectMATEMATİKSEL VE ​​BİLGİSAYAR BİYOLOJİSİ
dc.subjectBiyoloji ve Biyokimya
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTOKSİKOLOJİ
dc.subjectFarmakoloji ve Toksikoloji
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyokimya
dc.subjectEczacılık
dc.subjectMeslek Bilimleri
dc.subjectFarmasötik Toksikoloji
dc.subjectTarımsal Bilimler
dc.titleComputer-aided prediction and cytotoxicity evaluation of dithiocarbamates of 9,10-anthracenedione as new anticancer agents
dc.typeMakale
dc.relation.journalSAR AND QSAR IN ENVIRONMENTAL RESEARCH
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume28
dc.identifier.issue5
dc.identifier.startpage355
dc.identifier.endpage366
dc.contributor.firstauthorID80618


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