Predicting Protein Interaction

Pred_PPI is a web-based system that serves for predicting PPIs from different organisms. This server is freely available to any researcher wishing to use it for non-commercial purposes. Based on auto covariance (AC) and support vector machine (SVM), this tool is capable of predicting PPIs for any target protein pair only using their primary sequences, and assigning an interaction probability to each SVM prediction as well. So the user can use this tool to predict novel PPIs with high confidence.

Protein-protein interactions (PPIs) are essential for almost all cellular processes, such as metabolic cycles, DNA transcription and replication, different signaling cascades and so on. However the biochemical methods are all time-consuming and expensive, so current PPI pairs elucidated by experiments are absolutely insufficient compared to the complete PPI networks. Consequently it is increasing important to develop computational tools for effectively identifying PPIs.

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