pubmed-article:15759641 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:15759641 | lifeskim:mentions | umls-concept:C0439849 | lld:lifeskim |
pubmed-article:15759641 | lifeskim:mentions | umls-concept:C0014442 | lld:lifeskim |
pubmed-article:15759641 | lifeskim:mentions | umls-concept:C1880371 | lld:lifeskim |
pubmed-article:15759641 | lifeskim:mentions | umls-concept:C1883220 | lld:lifeskim |
pubmed-article:15759641 | pubmed:dateCreated | 2005-3-11 | lld:pubmed |
pubmed-article:15759641 | pubmed:abstractText | The prediction of protein function from structure or sequence data remains a problem best addressed by leveraging information available from previously determined structure-function relationships. In the case of enzymes, the study of mechanistically diverse superfamilies can provide a rich source of structure-function information useful in functional determination and enzyme engineering. To access these relationships using a computational resource, several issues must be addressed regarding the representation of enzyme function, the organization of structure-function relationships in the superfamily context, the handling of misannotations, and reliability of classifications and evidence. We discuss here our approaches to solving these problems in the development of a Structure-Function Linkage Database (SFLD) (online at http://sfld.rbvi.ucsf.edu). | lld:pubmed |
pubmed-article:15759641 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15759641 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15759641 | pubmed:language | eng | lld:pubmed |
pubmed-article:15759641 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15759641 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:15759641 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15759641 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:15759641 | pubmed:issn | 1793-5091 | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:BabbittPatric... | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:OjhaSunilS | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:HuangConrad... | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:FerrinThomas... | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:BrownShoshana... | lld:pubmed |
pubmed-article:15759641 | pubmed:author | pubmed-author:PeggScott C... | lld:pubmed |
pubmed-article:15759641 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:15759641 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:15759641 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:15759641 | pubmed:pagination | 358-69 | lld:pubmed |
pubmed-article:15759641 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
pubmed-article:15759641 | pubmed:meshHeading | pubmed-meshheading:15759641... | lld:pubmed |
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pubmed-article:15759641 | pubmed:meshHeading | pubmed-meshheading:15759641... | lld:pubmed |
pubmed-article:15759641 | pubmed:year | 2005 | lld:pubmed |
pubmed-article:15759641 | pubmed:articleTitle | Representing structure-function relationships in mechanistically diverse enzyme superfamilies. | lld:pubmed |
pubmed-article:15759641 | pubmed:affiliation | Dept of Biopharmaceutical Sciences, University of California, San Francisco 94143, USA. | lld:pubmed |
pubmed-article:15759641 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:15759641 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
pubmed-article:15759641 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
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