Pregled bibliografske jedinice broj: 369309
Atypical cytostatic mechanism of N -1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis
Atypical cytostatic mechanism of N -1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis // Investigational new drugs, 26 (2008), 2; 97-110 doi:10.1007/s10637-007-9084-1 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 369309 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Atypical cytostatic mechanism of N -1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis
Autori
Supek, Fran ; Kralj, Marijeta ; Marjanović, Marko ; Šuman, Lidija ; Šmuc, Tomislav ; Krizmanić, Irena ; Žinić, Biserka
Izvornik
Investigational new drugs (0167-6997) 26
(2008), 2;
97-110
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
nucleobases ; antitumor agents ; In vitro screening ; bioinformatics ; Random Forest
Sažetak
We have previously shown that N-1-sulfonylpyrimidine derivatives have strong antiproliferative activity on human tumor cell lines, whereby 1-(p-toluenesulfonyl)cytosine showed good selectivity with regard to normal cells and was easily synthesized on a large scale. In the present work we have used an interdisciplinary approach to elucidate the compounds’ mechanistic class. An augmented number of cell lines (11) has allowed a computational search for compounds with similar activity profiles and/or mechanistic class by integrating our data with the comprehensive DTP– NCI database. We applied supervised machine learning methodology (Random Forest classifier), which offers information complementary to unsupervised algorithms commonly used for analysis of cytostatic activity profiles, such as self-organizing maps. The computational results taken together with cell cycle perturbation and apoptosis analysis of the cell lines point to an unusual mechanism of cytostatic action, possibly a combination of nucleic acid antimetabolite activity and a novel molecular mechanism.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Temeljne medicinske znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
098-0000000-3168 - Strojno učenje prediktivnih modela u računalnoj biologiji (Šmuc, Tomislav, MZOS ) ( CroRIS)
098-0982464-2514 - Uloga različitih mehanizama odgovora stanica na terapiju oštećenjem DNA (Kralj, Marijeta, MZOS ) ( CroRIS)
098-0982914-2935 - Sinteza novih biološki aktivnih derivata nukleobaza i nukleotida (Žinić, Biserka, MZOS ) ( CroRIS)
Ustanove:
Pliva-Istraživački institut,
Institut "Ruđer Bošković", Zagreb
Profili:
Marko Marjanović
(autor)
Lidija Šuman
(autor)
Fran Supek
(autor)
Biserka Žinić
(autor)
Marijeta Kralj
(autor)
Tomislav Šmuc
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
Uključenost u ostale bibliografske baze podataka::
- Current Awareness in Biological Sciences (CABS)
- Medical Documentation Service
- Reference Update