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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
3
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pubmed:dateCreated |
2006-2-1
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pubmed:abstractText |
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.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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|
pubmed:citationSubset |
IM
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|
pubmed:status |
MEDLINE
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|
pubmed:month |
Feb
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pubmed:issn |
1367-4803
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pubmed:author |
|
|
pubmed:issnType |
Print
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pubmed:day |
1
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pubmed:volume |
22
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
356-8
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:16317077-Algorithms,
pubmed-meshheading:16317077-Amino Acid Sequence,
pubmed-meshheading:16317077-Computer Simulation,
pubmed-meshheading:16317077-Models, Chemical,
pubmed-meshheading:16317077-Models, Molecular,
pubmed-meshheading:16317077-Molecular Sequence Data,
pubmed-meshheading:16317077-Reproducibility of Results,
pubmed-meshheading:16317077-Sensitivity and Specificity,
pubmed-meshheading:16317077-Sequence Analysis, Protein,
pubmed-meshheading:16317077-Software
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pubmed:year |
2006
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pubmed:articleTitle |
Paircoil2: improved prediction of coiled coils from sequence.
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|
pubmed:affiliation |
Mathematics Department, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA 02139, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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