| Title: | Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals |
| Author(s): | Gupta S; Basant N; Singh KP; |
| Address: | "a Academy of Scientific and Innovative Research , Anusandhan Bhawan, New Delhi , India" |
| DOI: | 10.1080/1062936X.2014.994562 |
| ISSN/ISBN: | 1029-046X (Electronic) 1026-776X (Linking) |
| Abstract: | "In this study, structure-activity relationship (SAR) models have been established for qualitative and quantitative prediction of the blood-brain barrier (BBB) permeability of chemicals. The structural diversity of the chemicals and nonlinear structure in the data were tested. The predictive and generalization ability of the developed SAR models were tested through internal and external validation procedures. In complete data, the QSAR models rendered ternary classification accuracy of >98.15%, while the quantitative SAR models yielded correlation (r(2)) of >0.926 between the measured and the predicted BBB permeability values with the mean squared error (MSE) <0.045. The proposed models were also applied to an external new in vitro data and yielded classification accuracy of >82.7% and r(2) > 0.905 (MSE < 0.019). The sensitivity analysis revealed that topological polar surface area (TPSA) has the highest effect in qualitative and quantitative models for predicting the BBB permeability of chemicals. Moreover, these models showed predictive performance superior to those reported earlier in the literature. This demonstrates the appropriateness of the developed SAR models to reliably predict the BBB permeability of new chemicals, which can be used for initial screening of the molecules in the drug development process" |
| Keywords: | "Animals Artificial Intelligence Blood-Brain Barrier/*metabolism Databases, Chemical Humans Models, Statistical Permeability *Quantitative Structure-Activity Relationship Volatile Organic Compounds/chemistry/pharmacokinetics BBB permeability molecular desc;" |
| Notes: | "MedlineGupta, S Basant, N Singh, K P eng England 2015/01/30 SAR QSAR Environ Res. 2015; 26(2):95-124. doi: 10.1080/1062936X.2014.994562. Epub 2015 Jan 28" |
