Abstract:
:The aim of these works present in this paper consisted in the development and evaluation of quantitative structure property models (QSPR) for the prediction of the melting points of a series constituted by 62 fatty acids. The best multilinear regressions method (MLR) is used to develop models for the prediction of the melting points. The descriptors of the model are selected among an extended set of more than 500 descriptors (constitutional, topological, geometric, quantum chemical and thermodynamic descriptors). Applicability domains were defined and the predictive power was determined using a set of validations The QSPR models are established using the BMLR method implemented in CODESSA software, It turns out that the best QSPR model (R(2)=0.948, R(adj)(2)=0.936, SD=0.940 and F-test=190.90) is obtained with five molecular descriptors.
journal_name
Chem Phys Lipidsjournal_title
Chemistry and physics of lipidsauthors
Guendouzi A,Mekelleche SMdoi
10.1016/j.chemphyslip.2011.10.001subject
Has Abstractpub_date
2012-01-01 00:00:00pages
1-6issue
1eissn
0009-3084issn
1873-2941pii
S0009-3084(11)00334-3journal_volume
165pub_type
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