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Open AccessArticle

Prediction of Placental Barrier Permeability: A Model Based on Partial Least Squares Variable Selection Procedure

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Medicine Engineering Research Center, School of Pharmacy, Chongqing Medical University, Chongqing 400016, China
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College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400030, China
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Department of Chinese Traditional Medicine, Chongqing Medical University, Chongqing 400016, China
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State Key Laboratory of Pollution Control and Resources Reuse, Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
*
Authors to whom correspondence should be addressed.
Academic Editor: D. Hadjipavlou-Litina
Molecules 2015, 20(5), 8270-8286; https://doi.org/10.3390/molecules20058270
Received: 13 March 2015 / Revised: 20 April 2015 / Accepted: 30 April 2015 / Published: 7 May 2015
(This article belongs to the Section Molecular Diversity)
Assessing the human placental barrier permeability of drugs is very important to guarantee drug safety during pregnancy. Quantitative structure–activity relationship (QSAR) method was used as an effective assessing tool for the placental transfer study of drugs, while in vitro human placental perfusion is the most widely used method. In this study, the partial least squares (PLS) variable selection and modeling procedure was used to pick out optimal descriptors from a pool of 620 descriptors of 65 compounds and to simultaneously develop a QSAR model between the descriptors and the placental barrier permeability expressed by the clearance indices (CI). The model was subjected to internal validation by cross-validation and y-randomization and to external validation by predicting CI values of 19 compounds. It was shown that the model developed is robust and has a good predictive potential (r2 = 0.9064, RMSE = 0.09, q2 = 0.7323, rp2 = 0.7656, RMSP = 0.14). The mechanistic interpretation of the final model was given by the high variable importance in projection values of descriptors. Using PLS procedure, we can rapidly and effectively select optimal descriptors and thus construct a model with good stability and predictability. This analysis can provide an effective tool for the high-throughput screening of the placental barrier permeability of drugs. View Full-Text
Keywords: placental barrier permeability; descriptors based on Dragon software; PLS regression; variable importance in projection (VIP); validation; application domain placental barrier permeability; descriptors based on Dragon software; PLS regression; variable importance in projection (VIP); validation; application domain
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MDPI and ACS Style

Zhang, Y.-H.; Xia, Z.-N.; Yan, L.; Liu, S.-S. Prediction of Placental Barrier Permeability: A Model Based on Partial Least Squares Variable Selection Procedure. Molecules 2015, 20, 8270-8286.

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