Source:http://linkedlifedata.com/resource/pubmed/id/15059818
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
14
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pubmed:dateCreated |
2004-9-21
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pubmed:abstractText |
Arby is a new server for protein structure prediction that combines several homology-based methods for predicting the three-dimensional structure of a protein, given its sequence. The methods used include a threading approach, which makes use of structural information, and a profile-profile alignment approach that incorporates secondary structure predictions. The combination of the different methods with the help of empirically derived confidence measures affords reliable template selection.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Sep
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pubmed:issn |
1367-4803
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:day |
22
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pubmed:volume |
20
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2228-35
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:15059818-Algorithms,
pubmed-meshheading:15059818-Computer Simulation,
pubmed-meshheading:15059818-Models, Molecular,
pubmed-meshheading:15059818-Protein Conformation,
pubmed-meshheading:15059818-Protein Folding,
pubmed-meshheading:15059818-Protein Structure, Secondary,
pubmed-meshheading:15059818-Proteins,
pubmed-meshheading:15059818-Reproducibility of Results,
pubmed-meshheading:15059818-Sensitivity and Specificity,
pubmed-meshheading:15059818-Sequence Alignment,
pubmed-meshheading:15059818-Sequence Analysis, Protein,
pubmed-meshheading:15059818-Software
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pubmed:year |
2004
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pubmed:articleTitle |
Arby: automatic protein structure prediction using profile-profile alignment and confidence measures.
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pubmed:affiliation |
Institute for Algorithms and Scientific Computing (SCAI), Fraunhofer Gesellschaft, Schloss Birlinghoven, Sankt Augustin, 53754, Germany. Niklas.von-Oehsen@scai.fhg.de
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Evaluation Studies,
Validation Studies
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