Classifying protein interaction type with associative patterns

This paper studied the use of class association rules to classify protein-protein interaction type. Transactions are generated from the residues on the binding site of a protein complex. A transaction is in the form of a pair of residue sets. Transactions from transient protein complexes and from obligate protein complexes are stored separately. Two sets of patterns are mined from the sets of transactions. An unseen pair of proteins is classified be three score measures. The best classification performance achieves 80% accuracy. A biologist can submit a query protein, and get proteins that are likely to do certain interaction with his protein. With the patterns, indexing for screening potential proteins can be implemented efficiently.