rdf:type |
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lifeskim:mentions |
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pubmed:issue |
23
|
pubmed:dateCreated |
2007-11-28
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pubmed:abstractText |
Disulfide bonds are primary covalent crosslinks between two cysteine residues in proteins that play critical roles in stabilizing the protein structures and are commonly found in extracy-toplasmatic or secreted proteins. In protein folding prediction, the localization of disulfide bonds can greatly reduce the search in conformational space. Therefore, there is a great need to develop computational methods capable of accurately predicting disulfide connectivity patterns in proteins that could have potentially important applications.
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pubmed:language |
eng
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pubmed:journal |
|
pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
|
pubmed:issn |
1367-4811
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pubmed:author |
|
pubmed:issnType |
Electronic
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pubmed:day |
1
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pubmed:volume |
23
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
3147-54
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pubmed:dateRevised |
2009-11-4
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pubmed:meshHeading |
pubmed-meshheading:17942444-Algorithms,
pubmed-meshheading:17942444-Amino Acid Sequence,
pubmed-meshheading:17942444-Artificial Intelligence,
pubmed-meshheading:17942444-Binding Sites,
pubmed-meshheading:17942444-Computer Simulation,
pubmed-meshheading:17942444-Disulfides,
pubmed-meshheading:17942444-Models, Chemical,
pubmed-meshheading:17942444-Models, Molecular,
pubmed-meshheading:17942444-Molecular Sequence Data,
pubmed-meshheading:17942444-Pattern Recognition, Automated,
pubmed-meshheading:17942444-Protein Binding,
pubmed-meshheading:17942444-Protein Interaction Mapping,
pubmed-meshheading:17942444-Protein Structure, Secondary,
pubmed-meshheading:17942444-Sequence Alignment,
pubmed-meshheading:17942444-Sequence Analysis, Protein
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pubmed:year |
2007
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pubmed:articleTitle |
Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
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pubmed:affiliation |
Advanced Computational Modelling Centre, The University of Queensland, Brisbane, QLD 4072, Australia.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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