Regression model (regression) QMRF
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 34 | 0.884 | 0.157 |
Validation set | external validation | 16 | 0.818 | 0.187 |
When using this QDB archive, please cite (see details) it together with the original article:
Piir, G. Data for: Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds. QsarDB repository, QDB.209. 2019. https://doi.org/10.15152/QDB.209
Prana, V.; Fayet, G.; Rotureau, P.; Adamo, C. Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds. J. Hazard. Mater. 2012, 235-236, 169–177. https://doi.org/10.1016/j.jhazmat.2012.07.036
dc.date.accessioned | 2019-09-27T13:14:29Z | |
dc.date.available | 2019-09-27T13:14:29Z | |
dc.date.issued | 2019-09-27 | |
dc.identifier.uri | http://hdl.handle.net/10967/209 | |
dc.identifier.uri | http://dx.doi.org/10.15152/QDB.209 | |
dc.description.abstract | The European regulation of chemicals named REACH implies the assessment of a large number of substances based on their hazardous properties. However, the complete characterization of physico-chemical, toxicological and eco-toxicological properties by experimental means is incompatible with the imposed calendar of REACH. Hence, there is a real need in evaluating the capabilities of alternative methods such as quantitative structure–property relationship (QSPR) models, notably for physico-chemical properties. In the present work, the molecular structures of 50 nitroaliphatic compounds were correlated with their impact sensitivities (h50%) using such predictive models. More than 400 molecular descriptors (constitutional, topological, geometrical, quantum chemical) were calculated and linear and multi-linear regressions were performed to find accurate quantitative relationships with experimental impact sensitivities. Considering different sets of descriptors, four predictive models were obtained and two of them were selected for their predictive reliability. To our knowledge, these QSPR models for the impact sensitivity of nitroaliphatic compounds are the first ones being rigorously validated (both internally and externally) with defined applicability domains. They hence follow all OECD principles for regulatory acceptability of QSPRs, allowing possible application in REACH. | |
dc.publisher | Geven Piir | |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Prana, V.; Fayet, G.; Rotureau, P.; Adamo, C. Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds. J. Hazard. Mater. 2012, 235-236, 169–177. | |
qdb.property.endpoint | 1. Physical Chemical Properties 1.21. Explosive Properties | en_US |
qdb.descriptor.application | CODESSA PRO 1.0 | en_US |
qdb.prediction.application | CODESSA PRO 1.0 | en_US |
bibtex.entry | article | en_US |
bibtex.entry.author | Prana, V. | |
bibtex.entry.author | Fayet, G. | |
bibtex.entry.author | Rotureau, P. | |
bibtex.entry.author | Adamo, C. | |
bibtex.entry.doi | 10.1016/j.jhazmat.2012.07.036 | en_US |
bibtex.entry.journal | J. Hazard. Mater. | en_US |
bibtex.entry.month | Oct | |
bibtex.entry.pages | 169–177 | en_US |
bibtex.entry.title | Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds | en_US |
bibtex.entry.volume | 235-236 | en_US |
bibtex.entry.year | 2012 | |
qdb.model.type | Regression model (regression) | en_US |
qdb.model.qmrf | Eq.11=Eq.11 | |
qdb.descriptor.calculation | Eq.11 |
Name | Description | Format | Size | View |
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2012JHM169.qdb.zip | Model for impact sensitivity of nitroaliphatic compounds | application/zip | 19.17Kb | View/ |
Eq.11 | QMRF | 35.93Kb | View/ |