| pubmed-article:16103910 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16103910 | lifeskim:mentions | umls-concept:C0439849 | lld:lifeskim |
| pubmed-article:16103910 | lifeskim:mentions | umls-concept:C1547902 | lld:lifeskim |
| pubmed-article:16103910 | lifeskim:mentions | umls-concept:C0449255 | lld:lifeskim |
| pubmed-article:16103910 | lifeskim:mentions | umls-concept:C1272745 | lld:lifeskim |
| pubmed-article:16103910 | lifeskim:mentions | umls-concept:C1706245 | lld:lifeskim |
| pubmed-article:16103910 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:16103910 | pubmed:dateCreated | 2005-8-16 | lld:pubmed |
| pubmed-article:16103910 | pubmed:abstractText | Understanding the relationship between protein structure and function is one of the foremost challenges in post-genomic biology. Higher conservation of structure could, in principle, allow researchers to extend current limitations of annotation. However, despite significant research in the area, a precise and quantitative relationship between biochemical function and protein structure has been elusive. Attempts to draw an unambiguous link have often been complicated by pleiotropy, variable transcriptional control, and adaptations to genomic context, all of which adversely affect simple definitions of function. In this paper, I report that integrating genomic information can be used to clarify the link between protein structure and function. First, I present a novel measure of functional proximity between protein structures (F-score). Then, using F-score and other entirely automatic methods measuring structure and phylogenetic similarity, I present a three-dimensional landscape describing their inter-relationship. The result is a "well-shaped" landscape that demonstrates the added value of considering genomic context in inferring function from structural homology. A generalization of methodology presented in this paper can be used to improve the precision of annotation of genes in current and newly sequenced genomes. | lld:pubmed |
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| pubmed-article:16103910 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16103910 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16103910 | pubmed:status | PubMed-not-MEDLINE | lld:pubmed |
| pubmed-article:16103910 | pubmed:month | Jun | lld:pubmed |
| pubmed-article:16103910 | pubmed:issn | 1553-734X | lld:pubmed |
| pubmed-article:16103910 | pubmed:author | pubmed-author:ShakhnovichBo... | lld:pubmed |
| pubmed-article:16103910 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:16103910 | pubmed:volume | 1 | lld:pubmed |
| pubmed-article:16103910 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16103910 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16103910 | pubmed:pagination | e9 | lld:pubmed |
| pubmed-article:16103910 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:16103910 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:16103910 | pubmed:articleTitle | Improving the precision of the structure-function relationship by considering phylogenetic context. | lld:pubmed |
| pubmed-article:16103910 | pubmed:affiliation | Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America. borya@acs.bu.edu | lld:pubmed |
| pubmed-article:16103910 | pubmed:publicationType | Journal Article | lld:pubmed |
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