| pubmed-article:17179934 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17179934 | lifeskim:mentions | umls-concept:C1442792 | lld:lifeskim |
| pubmed-article:17179934 | lifeskim:mentions | umls-concept:C0033204 | lld:lifeskim |
| pubmed-article:17179934 | lifeskim:mentions | umls-concept:C0178735 | lld:lifeskim |
| pubmed-article:17179934 | lifeskim:mentions | umls-concept:C2698650 | lld:lifeskim |
| pubmed-article:17179934 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:17179934 | pubmed:dateCreated | 2006-12-29 | lld:pubmed |
| pubmed-article:17179934 | pubmed:abstractText | Although three-dimensional electron microscopy (3D-EM) permits structural characterization of macromolecular assemblies in distinct functional states, the inability to classify projections from structurally heterogeneous samples has severely limited its application. We present a maximum likelihood-based classification method that does not depend on prior knowledge about the structural variability, and demonstrate its effectiveness for two macromolecular assemblies with different types of conformational variability: the Escherichia coli ribosome and Simian virus 40 (SV40) large T-antigen. | lld:pubmed |
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| pubmed-article:17179934 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17179934 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17179934 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17179934 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17179934 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17179934 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17179934 | pubmed:month | Jan | lld:pubmed |
| pubmed-article:17179934 | pubmed:issn | 1548-7091 | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:FrankJoachimJ | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:HermanGabor... | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:ValleMikelM | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:GaoHaixiaoH | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:ScheresSjors... | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:CarazoJose-Ma... | lld:pubmed |
| pubmed-article:17179934 | pubmed:author | pubmed-author:EggermontPaul... | lld:pubmed |
| pubmed-article:17179934 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17179934 | pubmed:volume | 4 | lld:pubmed |
| pubmed-article:17179934 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17179934 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17179934 | pubmed:pagination | 27-9 | lld:pubmed |
| pubmed-article:17179934 | pubmed:dateRevised | 2007-12-3 | lld:pubmed |
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| pubmed-article:17179934 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17179934 | pubmed:articleTitle | Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization. | lld:pubmed |
| pubmed-article:17179934 | pubmed:affiliation | Centro Nacional de Biotecnología, CSIC, Cantoblanco, 28049, Madrid, Spain. | lld:pubmed |
| pubmed-article:17179934 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17179934 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:17179934 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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