title: LOGICOIL--multi-state prediction of coiled-coil oligomeric state.
abstract: BACKGROUND
  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, 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 >90% 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.
  
  
  BACKGROUND
  LOGICOIL is available via a web-interface at http://coiledcoils.chm.bris.ac.uk/LOGICOIL. Source code, training sets and supporting information can be downloaded from the same site.
authors.affiliation: School of Chemistry, University of Bristol, Bristol BS8 1TS, UK.
authors.forename: Thomas L
authors.initials: TL
authors.lastname: Vincent
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Green
authors.forename: Derek N
authors.initials: DN
authors.lastname: Woolfson
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D055503:Protein Multimerization; D017433:Protein Structure, Secondary; D020539:Sequence Analysis, Protein; D012984:Software