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  Comparative analysis of coiled-coil prediction methods.

Gruber, M., Söding, J., & Lupas, A. N. (2006). Comparative analysis of coiled-coil prediction methods. Journal of Structural Biology, 155(2), 140-145. doi:10.1016/j.jsb.2006.03.009.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-E7D7-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-0CD2-7
Genre: Journal Article

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1944242.pdf (Publisher version), 260KB
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 Creators:
Gruber, M.1, Author
Söding, J.2, Author           
Lupas, A. N.1, Author
Affiliations:
1external, ou_persistent22              
2Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286              

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Free keywords: Coiled-coil prediction; COILS; Marcoil; MultiCoil; PairCoil2; Sequence analysis
 Abstract: In this study we compare commonly used coiled-coil prediction methods against a database derived from proteins of known structure. We find that the two older programs COILS and PairCoil/MultiCoil are significantly outperformed by two recent developments: Marcoil, a program built on hidden Markov models, and PCOILS, a new COILS version that uses profiles as inputs; and to a lesser extent by a PairCoil update, PairCoil2. Overall Marcoil provides a slightly better performance over the reference database than PCOILS and is considerably faster, but it is sensitive to highly charged false positives, whereas the weighting option of PCOILS allows the identification of such sequences.

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Language(s): eng - English
 Dates: 2006-08
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jsb.2006.03.009
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Title: Journal of Structural Biology
Source Genre: Journal
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Publ. Info: Orlando, Fla. : Academic Press
Pages: - Volume / Issue: 155 (2) Sequence Number: - Start / End Page: 140 - 145 Identifier: ISSN: 1047-8477
CoNE: https://pure.mpg.de/cone/journals/resource/954922650160