Reconstructing the Topology of Protein Complexes

Abstract. Recent advances in high-throughput experimental techniques have enabled the production of a wealth of protein interaction data, rich in both quantity and variety. While the sheer quantity and variety of data present special difficulties for modeling, they also present unique opportunities for gaining insight into protein behavior by leveraging multiple perspectives. Recent work on the modularity of protein interactions has revealed that reasoning about protein interactions at the level of domain interactions can be quite useful. We present PROCTOR, a learning algorithm for reconstructing the internal topology of protein complexes by reasoning at the domain level about both direct protein interaction data (Y2H) and protein co-complex data (AP-MS). While other methods have attempted to use data from both these kinds of assays, they usually require that co-complex data be transformed into pairwise interaction data under a spoke or clique model, a transformation we do not require...

• Type: Conference
• Year: 2007
• Where: RECOMB
• Authors: Allister Bernard, David S. Vaughn, Alexander J. Hartemink
• Keywords: Computational Biology, Internal Topology, Protein Interaction Data, RECOMB 2007, Rna Polymerase Ii