Summary: We introduce Paircoil2, a new version of the Paircoil program, which uses pairwise residue probabilities to detect coiled-coil motifs in protein sequence data. Paircoil2 achieves 98% sensitivity and 97% specificity on known coiled coils in leave-family-out cross-validation. It also shows superior performance compared with published methods in tests on proteins of known structure. © The Author 2005. Published by Oxford University Press. All rights reserved.
CITATION STYLE
McDonnell, A. V., Jiang, T., Keating, A. E., & Berger, B. (2006). Paircoil2: Improved prediction of coiled coils from sequence. Bioinformatics, 22(3), 356–358. https://doi.org/10.1093/bioinformatics/bti797
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