4.7 Article

Paircoil2: improved prediction of coiled coils from sequence

Journal

BIOINFORMATICS
Volume 22, Issue 3, Pages 356-358

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti797

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Funding

  1. NIGMS NIH HHS [GM67681] Funding Source: Medline

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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. Availability: Paircoil2 is freely available as a web application and for download at http://paircoil2.csail.mit.edu Contact: keating@mit.edu; bab@mit.edu Supplementary information: Available at Bioinformatics online and at the Paircoil website.

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