pubmed-article:17397537 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C0035647 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C0033684 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C1442792 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C1321013 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C0870071 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C1561577 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C1514811 | lld:lifeskim |
pubmed-article:17397537 | lifeskim:mentions | umls-concept:C1706462 | lld:lifeskim |
pubmed-article:17397537 | pubmed:dateCreated | 2007-4-17 | lld:pubmed |
pubmed-article:17397537 | pubmed:abstractText | Accurate description of protein interaction with aqueous solvent is crucial for modeling of protein folding, protein-protein interaction, and drug design. Efforts to build a working description of solvation, both by continuous models and by molecular dynamics, yield controversial results. Specifically constructed knowledge-based potentials appear to be promising for accounting for the solvation at the molecular level, yet have not been used for this purpose. | lld:pubmed |
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pubmed-article:17397537 | pubmed:language | eng | lld:pubmed |
pubmed-article:17397537 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17397537 | pubmed:citationSubset | IM | lld:pubmed |
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pubmed-article:17397537 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17397537 | pubmed:issn | 1472-6807 | lld:pubmed |
pubmed-article:17397537 | pubmed:author | pubmed-author:MakeevVsevolo... | lld:pubmed |
pubmed-article:17397537 | pubmed:author | pubmed-author:RakhmanovSerg... | lld:pubmed |
pubmed-article:17397537 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17397537 | pubmed:volume | 7 | lld:pubmed |
pubmed-article:17397537 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17397537 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17397537 | pubmed:pagination | 19 | lld:pubmed |
pubmed-article:17397537 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:17397537 | pubmed:meshHeading | pubmed-meshheading:17397537... | lld:pubmed |
pubmed-article:17397537 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17397537 | pubmed:articleTitle | Atomic hydration potentials using a Monte Carlo Reference State (MCRS) for protein solvation modeling. | lld:pubmed |
pubmed-article:17397537 | pubmed:affiliation | Institute of Genetics and Selection of Industrial Microorganisms, State Research Centre GosNIIgenetika, Moscow, Russia. sergeira@genetika.ru | lld:pubmed |
pubmed-article:17397537 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17397537 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:17397537 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |