Protein-Protein Interaction Prediction based on Association Rules of Protein Functional Regions

In cells, protein-protein interaction (PPI) controls the biological process. For decoding mechanism of diseases, investigators attempt to predict PPI. Recently PPI is a popular subject in bioinformatics. Functional regions of compact protein structure interact with others. Nearly a lot of PPI-related tools were produced and available. Furthermore, researchers applied computational methods with statistic methods to predict PPIs. In some researches, the investigators had tried to use it to find out the relationship of protein pair in PPI. In this paper, we collected proteins and PPI data from DIP and IntAct. Next, the data of functional regions was downloaded from UNIPROT. They were integrated into our database. Moreover, two modules of PPI prediction were established with Saccharomyces cerevisiae (yeast) and Drosophila melanogaster (fruit fly) by an association rule tool. We applied two different species´ PPIs for evidence of the two modules.