Grupa za računalnu biologiju i
bioinformatiku
Članovi:
Suradnici:
Projekti:
- Strojno
učenje prediktivnih modela u računalnoj biologiji, MZOŠ,
2008-2010
- Induktivne baze
podataka u genomici i proteomici, bilateralni projekt sa Odsekom za
tehnologije znanja na Institutu Josef Štefan, Slovenija, 2007-2009
- REVIGO -
Redundancy
Elimination and Visualization of Gene Ontology Category Lists, Iproject
(MSES), 2009.
- GORBI – Gene Ontology at RBI,
Iproject (MSES), 2009.
Publikacije:
1. Supek F, Peharec P, Krsnik-Rasol M, Šmuc T:
Enhanced analytical power of SDS-PAGE using machine learning algorithms.
Proteomics 2008: 8 (1): 28.
2. Supek
F, Kralj, M, Marjanović, M, Šuman L, Šmuc T, Krizmanić I, Žinić B: Atypical
cytostatic mechanism of N -1-sulfonylcytosine derivatives determined by in vitro
screening and computational analysis.
Invest New Drug
2008: 26 (2): 97.
3.
Čož-Rakovac R, Šmuc T, Topić Popović N, Strunjak-Perović I, Hacmanjek M, Jadan M: Novel methods
for assesing fish blood biochemical data. J Appl Ichthyol. 2008: 24(1): 77.
4. Marjanović M, Kralj M,
Supek F, Frkanec L, Piantanida I, Šmuc T, Tušek-Božić, Lj.: 'Antitumor Potential
of Crown Ethers: Structure-Activitiy Relationships', Cell Cycle Disturbances,
and Cell Death Studies of a Series of Ionophores, J Med Chem 2007: 50(5):
1007.
5. Čož-Rakovac R,
Strunjak-Perović I, Topić Popović N, Hacmanjek M, Šmuc T, Jadan M, Lipej Z,
Homen Z: Cage culture effects on
mullets (Mugilidae) liver histology and blood chemistry profile. J Fish Biol 2008: 72 (10): 2557.
6. Supek F, Šmuc T,
Lučić B. A prototype
structure-activity relationship model based on National Cancer Institute cell
line screening data. Periodicum Biologorum 2005: 107(4): 451.
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