  Protein-protein interaction extraction is the key precondition of the
construction of protein knowledge network, and it is very important for the
research in the biomedicine. This paper extracted directional protein-protein
interaction from the biological text, using the SVM-based method. Experiments
were evaluated on the LLL05 corpus with good results. The results show that
dependency features are import for the protein-protein interaction extraction
and features related to the interaction word are effective for the interaction
direction judgment. At last, we analyzed the effects of different features and
planed for the next step.
