Paircoil2: Improved prediction of coiled coils from sequence

345Citations
Citations of this article
199Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © The Author 2005. Published by Oxford University Press. All rights reserved.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free