Source:http://linkedlifedata.com/resource/pubmed/id/16769234
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2007-3-12
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pubmed:abstractText |
Genetic algorithms (GA) were used to develop specific technetium metal-ligand force field parameters for the MM3 force field. These parameters were developed using automated procedures within the program FFGenerAtor from a combination of crystallographic structures and ab initio calculations. These new parameters produced results in good agreement with experiment when tested against a blind validation set. To illustrate the utility of these new force field parameters, quantitative structure-activity relationship (QSAR) models were developed to predict the P-glycoprotein uptake (log10 VI) of a series of hexakis(areneisonitrile)technetium(I) complexes and to predict their biodistribution. The log10 VI QSAR model, built using a training set of 16 Tc(I) isonitrile complexes, exhibited a correlation between the experimental log10 VI and 5 simple descriptors as follows: r2 = 0.94, q2 = 0.93. When applied to an external test set of six Tc(I) isonitrile complexes, the QSAR preformed with great accuracy q2 = 0.78 based on a leave-one-out cross-validation analysis. Further QSAR models were developed to predict the biodistribution of the same set of Tc(I) isonitrile complexes; a QSAR model to predict hepatic uptake exhibited a correlation between the experimental log10(Blood/Liver) with six simple descriptors as follows: r2 = 0.97, q2 = 0.96. A QSAR model to predict renal uptake exhibited a correlation between the experimental log10(Blood/Kidney) and six simple descriptors as follows: r2 = 0.85, q2 = 0.82. When applied to the external test set the QSAR models preformed with great accuracy, q2 = 0.78 and 0.56, respectively.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
1093-3263
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
25
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
616-32
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pubmed:dateRevised |
2007-12-3
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pubmed:meshHeading |
pubmed-meshheading:16769234-Algorithms,
pubmed-meshheading:16769234-Animals,
pubmed-meshheading:16769234-Computer Simulation,
pubmed-meshheading:16769234-Models, Molecular,
pubmed-meshheading:16769234-Molecular Structure,
pubmed-meshheading:16769234-Organotechnetium Compounds,
pubmed-meshheading:16769234-P-Glycoprotein,
pubmed-meshheading:16769234-Quantitative Structure-Activity Relationship,
pubmed-meshheading:16769234-Radiopharmaceuticals,
pubmed-meshheading:16769234-Technetium Compounds,
pubmed-meshheading:16769234-Tissue Distribution
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pubmed:year |
2007
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pubmed:articleTitle |
Molecular modeling of hexakis(areneisonitrile)technetium(I), tricarbonyl eta5 cyclopentadienyl technetium and technetium(V)-oxo complexes: MM3 parameter development and prediction of biological properties.
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pubmed:affiliation |
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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