Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 233 | 0.751 | 0.322 |
Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 95 | 0.697 | 0.202 |
Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 328 | 0.753 | 0.297 |
When using this QDB archive, please cite (see details) it together with the original article:
Kahn, I. Data for: A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data. QsarDB repository, QDB.132. 2015. https://doi.org/10.15152/QDB.132
Abraham, M. H.; Ibrahim, A.; Zhao, Y.; Acree, W. E. A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data. J. Pharm. Sci. 2006, 95, 2091–2100. https://doi.org/10.1002/jps.20595
dc.date.accessioned | 2015-01-14T12:04:57Z | |
dc.date.available | 2015-01-14T12:04:57Z | |
dc.date.issued | 2015-01-14 | * |
dc.identifier.uri | http://hdl.handle.net/10967/132 | |
dc.identifier.uri | http://dx.doi.org/10.15152/QDB.132 | |
dc.description.abstract | Literature values of the in vivo distribution (BB) of drugs from blood, plasma, or serum to rat brain have been assembled for 207 compounds (233 data points). Wefind that data on in vivo distribution from blood, plasma, and serum to rat brain can all be combined. Application of our general linear free energy relationship (LFER) to the 207 compounds yields an equation in log BB, with R2=0.75 and a standard deviation, SD, of 0.33 log units. An equation for a training set predicts the test set of data with a standard deviation of 0.31 log units. We further find that the in vivo data cannot simply be combined with in vitro data on volatile organic and inorganic compounds, because there is a systematic difference between the two sets of data. Use of an indicator variable allows the two sets to be combined, leading to a LFER equation for 302 compounds (328 data points) with R2=0.75 and SD=0.30 log units. A training equation was then used to predict a test set with SD=0.25 log units. | |
dc.publisher | Iiris Kahn | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Abraham, M. H.; Ibrahim, A.; Zhao, Y.; Acree, W. E. A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data. J. Pharm. Sci. 2006, 95, 10, 2091–2100. | |
qdb.property.endpoint | 5. Toxicokinetics 5.4. Blood-brain barrier penetration | en_US |
qdb.property.species | Rattus norvegicus (Rat) | en_US |
bibtex.entry | article | en_US |
bibtex.entry.author | Abraham, M. H. | |
bibtex.entry.author | Ibrahim, A. | |
bibtex.entry.author | Zhao, Y. | |
bibtex.entry.author | Acree, W. E. | |
bibtex.entry.doi | 10.1002/jps.20595 | en_US |
bibtex.entry.journal | J. Pharm. Sci. | en_US |
bibtex.entry.month | Oct | |
bibtex.entry.number | 10 | en_US |
bibtex.entry.pages | 2091–2100 | en_US |
bibtex.entry.title | A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data | en_US |
bibtex.entry.volume | 95 | en_US |
bibtex.entry.year | 2006 | |
qdb.model.type | Regression model (regression) | en_US |
Name | Description | Format | Size | View |
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2006JPS2091.qdb.zip | QSARs for brain-blood distribution | application/zip | 90.29Kb | View/ |