Qiao, J.-Q.; Liu, X.-L.; Liang, C.; Wang, J.; Lian, H.-Z.; Mao, L.
Prediction of the n-Octanol/Water Partition Coefficients of Basic Compounds Using Multi-Parameter QSRR Models Based on IS-RPLC Retention Behavior in a Wide pH Range. Molecules 2023, 28, 2270.
https://doi.org/10.3390/molecules28052270
AMA Style
Qiao J-Q, Liu X-L, Liang C, Wang J, Lian H-Z, Mao L.
Prediction of the n-Octanol/Water Partition Coefficients of Basic Compounds Using Multi-Parameter QSRR Models Based on IS-RPLC Retention Behavior in a Wide pH Range. Molecules. 2023; 28(5):2270.
https://doi.org/10.3390/molecules28052270
Chicago/Turabian Style
Qiao, Jun-Qin, Xiao-Lan Liu, Chao Liang, Ju Wang, Hong-Zhen Lian, and Li Mao.
2023. "Prediction of the n-Octanol/Water Partition Coefficients of Basic Compounds Using Multi-Parameter QSRR Models Based on IS-RPLC Retention Behavior in a Wide pH Range" Molecules 28, no. 5: 2270.
https://doi.org/10.3390/molecules28052270
APA Style
Qiao, J.-Q., Liu, X.-L., Liang, C., Wang, J., Lian, H.-Z., & Mao, L.
(2023). Prediction of the n-Octanol/Water Partition Coefficients of Basic Compounds Using Multi-Parameter QSRR Models Based on IS-RPLC Retention Behavior in a Wide pH Range. Molecules, 28(5), 2270.
https://doi.org/10.3390/molecules28052270