کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1220898 | 1494627 | 2015 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Blood–brain barrier permeability mechanisms in view of quantitative structure–activity relationships (QSAR) Blood–brain barrier permeability mechanisms in view of quantitative structure–activity relationships (QSAR)](/preview/png/1220898.png)
• The prediction of BBB permeability using QSAR models and MLR calculations.
• Isolated atomic energy as a new supportive molecular energy-related descriptor in predicting blood–brain distribution.
• The obtained QSAR models were validated using both internal and external validation approaches.
• First application of the developed QSAR model of BBB permeability to case from the legal medicine.
The goal of the present paper was to develop a quantitative structure–activity relationship (QSAR) method using a simple statistical approach, such as multiple linear regression (MLR) for predicting the blood–brain barrier (BBB) permeability of chemical compounds. The “best” MLR models, comprised log P and either molecular mass (M) or isolated atomic energy (Eisol), tested on a structurally diverse set of 66 compounds, is characterized the by correlation coefficients (R ) around 0.8. The obtained models were validated using leave-one-out (LOO) cross-validation technique and the correlation coefficient of leave-one-out- RLOO2 (Q2) was at least 0.6. Analysis of a case from legal medicine demonstrated informative value of our QSAR model. To best authors’ knowledge the present study is a first application of the developed QSAR models of BBB permeability to case from the legal medicine. Our data indicate that molecular energy-related descriptors, in combination with the well-known descriptors of lipophilicity may have a supportive value in predicting blood–brain distribution, which is of utmost importance in drug development and toxicological studies.
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Journal: Journal of Pharmaceutical and Biomedical Analysis - Volume 108, 10 April 2015, Pages 29–37