Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Bioinformatics Research and Development : First International Conference, BIRD 2007 Proceedings |
Editors | Sepp Hochreiter, Roland Wagner |
Number of pages | 11 |
Publisher | Springer |
Publication date | 2007 |
Pages | 292-302 |
ISBN (Print) | 3-540-71232-1, 978-3-540-71232-9 |
DOIs | |
Publication status | Published - 2007 |
Event | 1st International Conference on Bioinformatics Research and Development, BIRD 2007 - Berlin, Germany Duration: 12 Mar 2007 → 14 Mar 2007 |
Conference
Conference | 1st International Conference on Bioinformatics Research and Development, BIRD 2007 |
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Land | Germany |
By | Berlin |
Periode | 12/03/2007 → 14/03/2007 |
Series | Lecture Notes in Bioinformatics |
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Volume | 4414 |
ISSN | 0302-9743 |
- Coiled-coil domains, Hidden Markov models, Protein structure prediction
Research areas
ID: 199873053