Section: Application Domains

Protein function prediction

Participants: Evangelia Zacharaki, Nikos Paragios (in collaboration with D. Vlachakis, University of Patras, Greece)

The massive expansion of the worldwide Protein Data Bank (PDB) provides new opportunities for computational approaches which can learn from available data and extrapolate the knowledge into new coming instances. The aim of our work was to exploit experimentally acquired structural information of enzymes through machine learning techniques in order to produce models that predict enzymatic function.