SCORER 2.0: an algorithm for distinguishing parallel dimeric and trimeric coiled-coil sequences
نویسندگان
چکیده
MOTIVATION The coiled coil is a ubiquitous α-helical protein structure domain that directs and facilitates protein-protein interactions in a wide variety of biological processes. At the protein-sequence level, coiled coils are quite straightforward and readily recognized via the conspicuous heptad repeats of hydrophobic and polar residues. However, structurally they are more complicated, existing in a range of oligomer states and topologies. Here, we address the issue of predicting coiled-coil oligomeric state from protein sequence. RESULTS The predominant coiled-coil oligomer states in Nature are parallel dimers and trimers. Here, we improve and retrain the first-published algorithm, SCORER, that distinguishes these states, and test it against the current standard, MultiCoil. The SCORER algorithm has been revised in two key respects: first, the statistical basis for SCORER is improved markedly. Second, the training set for SCORER has been expanded and updated to include only structurally validated coiled coils. The result is a much-improved oligomer state predictor that outperforms MultiCoil, particularly in assigning oligomer state to short coiled coils, and those that are diverse from the training set. AVAILABILITY SCORER 2.0 is available via a web interface at http://coiledcoils.chm.bris.ac.uk/Scorer. Source code, training sets and Supporting Information can be downloaded from the same site.
منابع مشابه
Computational characterization of parallel dimeric and trimeric coiled-coils using effective amino acid indices.
The coiled-coil, which consists of two or more α-helices winding around each other, is a ubiquitous and the most frequently observed protein-protein interaction motif in nature. The coiled-coil is known for its straightforward heptad repeat pattern and can be readily recognized based on protein primary sequences, exhibiting a variety of oligomer states and topologies. Due to the stable interact...
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ورودعنوان ژورنال:
- Bioinformatics
دوره 27 14 شماره
صفحات -
تاریخ انتشار 2011