LOGICOIL - multi-state prediction of coiled-coil oligomeric state

Publisher:
Oxford University Press (OUP)
Publication Type:
Journal Article
Citation:
Bioinformatics, 2013, 29 (1), pp. 69 - 76 (8)
Issue Date:
2013-01-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2013007519OK.pdfPublished Version272.56 kB
Adobe PDF
Motivation: The coiled coil is a ubiquitous -helical protein-structure domain that directs and facilitates protein┬┐protein interactions in a wide variety of biological processes. At the protein-sequence level, the coiled coil is readily recognized via a conspicuous heptad repeat of hydrophobic and polar residues. However, structurally coiled coils are more complicated, existing in a wide range of oligomer states and topologies. As a consequence, predicting these various states from sequence remains an unmet challenge. Results: This work introduces LOGICOIL, the first algorithm to address the problem of predicting multiple coiled-coil oligomeric states from protein-sequence information alone. By covering 490% of the known coiled-coil structures, LOGICOIL is a net improvement compared with other existing methods, which achieve a predictive coverage of 31% of this population. This leap in predictive power offers better opportunities for genome-scale analysis, and analyses of coiled-coil containing protein assemblies.
Please use this identifier to cite or link to this item: