TANA is a novel approach for inferring protein functions by combining three complementary pipelines from sequence homology-based annotation and PPI network alignment. The main originality of the introduced approach stands on the combination using the logistic regression method. The latter combines the function prediction for the unannotated protein by transferring annotation via the PPI network alignment and from the sequence homology using BLAST and PSI-BLAST.