Computational biology and bioinformatics group

Members:

• Tomislav Šmuc
• Fran Supek

Associates:

• Nives Škunca
• Marijeta Kralj

Projects:

• Machine Learning of Predictive Models in Computational Biology, MSES, 2008-2010
• Inductive Databases in Genomics and Proteomics, Bilateral project with KT Department at Institute Josef Stefan, Slovenia, 2007-2009
• REVIGO - Redundancy Elimination and Visualization of Gene Ontology Category Lists, Iproject (MSES), 2009.
• GORBI – Gene Ontology at RBI, Iproject (MSES), 2009.

 Publications:

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.