Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models

The coiled-coil protein domain is a widespread structural motif known to be involved in a wealth of key interactions in cells and organisms. Coiled-coil recognition and prediction of their location in a protein sequence are important steps for modeling protein structure and function. Nowadays, thanks to the increasing number of experimentally determined protein structures, a significant number of coiled-coil protein domains is available. This enables the development of methods suited to predict the coiled-coil structural motifs starting from the protein sequence. Several methods have been developed to predict classical heptads using manually annotated coiled-coil domains. In this paper we focus on the prediction structurally-determined coiled-coil segments. We introduce a new method based on hidden Markov models that complement the existing methods and outperforms them in the task of locating structurallydefined coiled-coil segments.

• Type: Conference
• Year: 2007
• Where: BIRD
• Authors: Piero Fariselli, Daniele Molinini, Rita Casadio, Anders Krogh
• Keywords: Bioinformatics, BIRD 2007, Coiled-coil Protein Domains, Protein, Protein Sequence