Machine learning of predictive models in computational biology

The unique methodological objective of the project will generate solutions within a three problem areas: (i) annotation of poorly characterized protein sequences to known structural or functional categories; (ii) improvements in the reliability and applicability of the experimental techniques of gel electrophoresis  (iii) integration of heterogeneous data from different stages of the process of developing new anticancer drugs.
The developed algorithms, and methodologies, potentially have wider application in other areas of biology or bio-sciences. Concrete results will be used in two ways: as a publicly available models in the targeted web services, or for directing researchers to design experiments with hypotheses generated by the characterization of the developed models. 

Project category
Znanstveni projekti Ministarstva znanosti, obrazovanja i športa
Project leader / principal investigator
Tomislav Šmuc

Tomislav Šmuc

Tomislav.Smuc@irb.hr
+385 1 456 1085
0981869605

Associates

Marijeta Kralj (IRB)
Biserka Kojić-Prodić (IRB)
Biljana Balen (PMF)
Fran Supek (IRB)
Nino-Antulov Fantulin (IRB)

Project start date
01/03/2008
Project end date
31/12/2011