20226048

Source:http://linkedlifedata.com/resource/pubmed/id/20226048

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0026336, umls-concept:C0026339, umls-concept:C0031809, umls-concept:C0033684, umls-concept:C0035647, umls-concept:C0038215, umls-concept:C0038951, umls-concept:C0332306, umls-concept:C0542341, umls-concept:C1442080
pubmed:dateCreated	2010-4-13
pubmed:abstractText	Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assessment.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/GM62519-04
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pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/100965194
pubmed:citationSubset	IM
pubmed:chemical	http://linkedlifedata.com/resource/pubmed/chemical/Proteins
pubmed:status	MEDLINE
pubmed:issn	1471-2105
pubmed:author	pubmed-author:FiserAndrasA, pubmed-author:RykunovDmitryD
pubmed:issnType	Electronic
pubmed:volume	11
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	128
pubmed:dateRevised	2010-9-28
pubmed:meshHeading	pubmed-meshheading:20226048-Databases, Protein, pubmed-meshheading:20226048-Models, Statistical, pubmed-meshheading:20226048-Protein Conformation, pubmed-meshheading:20226048-Proteins, pubmed-meshheading:20226048-Thermodynamics
pubmed:year	2010
pubmed:articleTitle	New statistical potential for quality assessment of protein models and a survey of energy functions.
pubmed:affiliation	Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Ave,, Bronx, NY 10461, USA.
pubmed:publicationType	Journal Article, Research Support, N.I.H., Extramural