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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
1998-10-27
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pubmed:abstractText |
Neural network predictors of protein disorder using primary sequence information were developed and applied to the Swiss Protein Database. More than 15,000 proteins were predicted to contain disordered regions of at least 40 consecutive amino acids, with more than 1,000 having especially high scores indicating disorder. These results support proposals that consideration of structure-activity relationships in proteins need to be broadened to include unfolded or disordered protein.
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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:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1793-5091
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
437-48
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pubmed:dateRevised |
2008-11-21
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pubmed:meshHeading |
pubmed-meshheading:9697202-Amino Acid Sequence,
pubmed-meshheading:9697202-Animals,
pubmed-meshheading:9697202-Calcineurin,
pubmed-meshheading:9697202-Databases, Factual,
pubmed-meshheading:9697202-False Positive Reactions,
pubmed-meshheading:9697202-Humans,
pubmed-meshheading:9697202-Internet,
pubmed-meshheading:9697202-Proteins,
pubmed-meshheading:9697202-Reproducibility of Results,
pubmed-meshheading:9697202-Sequence Alignment,
pubmed-meshheading:9697202-Sequence Homology, Amino Acid,
pubmed-meshheading:9697202-Software,
pubmed-meshheading:9697202-Structure-Activity Relationship
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pubmed:year |
1998
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pubmed:articleTitle |
Thousands of proteins likely to have long disordered regions.
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pubmed:affiliation |
School of Electrical Engineering and Computer Science, Washington State University, Pullman 99164, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.
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