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

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, 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 to 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. Availability: LOGICOIL is available via a web-interface a