Predicts interaction sites based on protein sequences by integrating five different algorithms employing meta-method, Majority Vote and SVMhmm Regression techniques. The 'metaPIS' web-server was implemented for meta-prediction. An evaluation of the meta-methods using independent datasets revealed that Majority Vote achieved the highest average Matthews correlation coefficient (0.181) among all the methods assessed. SVMhmm Regression achieved a lower score but provided a more stable result. The metaPIS server allows experimental biologists to speculate regarding protein function by identifying potential interaction sites based on protein sequence.