Literature DB >> 17532242

QSPR modeling of flash points: an update.

Alan R Katritzky1, Iva B Stoyanova-Slavova, Dimitar A Dobchev, Mati Karelson.   

Abstract

Quantitative structure-property relationship (QSPR) models for the flash points of 758 organic compounds are developed using geometrical, topological, quantum mechanical and electronic descriptors calculated by CODESSA PRO software. Multilinear regression models link the structures to their reported flash point values. We also report a nonlinear model based on an artificial neural network. The results are discussed in the light of the main factors that influence the property under investigation and its modeling.

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Year:  2007        PMID: 17532242     DOI: 10.1016/j.jmgm.2007.03.006

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  4 in total

1.  Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms.

Authors:  Guillaume Fayet; Patricia Rotureau; Laurent Joubert; Carlo Adamo
Journal:  J Mol Model       Date:  2010-12-21       Impact factor: 1.810

2.  QSPR modeling of thermal stability of nitroaromatic compounds: DFT vs. AM1 calculated descriptors.

Authors:  Guillaume Fayet; Patricia Rotureau; Laurent Joubert; Carlo Adamo
Journal:  J Mol Model       Date:  2010-01-05       Impact factor: 1.810

3.  Quantitative Structure Activity Relationship of Cinnamaldehyde Compounds against Wood-Decaying Fungi.

Authors:  Dongmei Yang; Hui Wang; Haijian Yuan; Shujun Li
Journal:  Molecules       Date:  2016-11-17       Impact factor: 4.411

4.  Design of cinnamaldehyde amino acid Schiff base compounds based on the quantitative structure-activity relationship.

Authors:  Hui Wang; Mingyue Jiang; Shujun Li; Chung-Yun Hse; Chunde Jin; Fangli Sun; Zhuo Li
Journal:  R Soc Open Sci       Date:  2017-09-06       Impact factor: 2.963

  4 in total

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