Paircoil2: improved prediction of coiled coils from sequence
AV McDonnell, T Jiang, AE Keating, B Berger�- Bioinformatics, 2006 - academic.oup.com
AV McDonnell, T Jiang, AE Keating, B Berger
Bioinformatics, 2006•academic.oup.comWe 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 Contact: keating@ mit. edu; bab@ mit. edu Supplementary information�…
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 Contact: keating@ mit. edu; bab@ mit. edu Supplementary information�…
Abstract
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.
Availability: Paircoil2 is freely available as a web application and for download at
Contact: �keating@mit.edu; bab@mit.edu
Supplementary information: Available at Bioinformatics online and at the Paircoil website.
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