Development of an in silico model for human skin permeation based on a Franz cell skin permeability assay

A multiple linear regression QSAR model was developed based on a set of 61 compounds with internally consistent permeability data measured across Franz cell. The data was normalized using a mean permeability value of a reference compound, 3-isobutyl-1-methylxanthine (IBMX). The QSAR model contained only five simple descriptors and had a correlation coefficient, r2 of 0.77 between experimental and calculated values for skin permeability. The mean absolute error (MAE) was 0.3 for the entire set and the cross validation coefficient, q2 was 0.71. The in silico skin permeability model was used as a filter for virtual libraries and to optimize skin permeation of specific compounds for several dermatology discovery projects.

A multiple linear regression QSAR model was developed based on a set of 61 compounds with internally consistent permeability data measured across Franz cell. The data was normalized using a mean permeability value of a reference compound, 3-isobutyl-1-methylxanthine (IBMX). The QSAR model contained only five simple descriptors and had a correlation coefficient, r2 of 0.77 between experimental and calculated values for skin permeability. The mean absolute error was 0.3 for the entire set and the cross validation coefficient, q2 was 0.71. The in silico skin permeability model was used as a filter for virtual libraries and to optimize skin permeation of specific compounds for several dermatology discovery projects. logPe=6.6177-0.0022∗PISA-0.3516∗donorHB-0.2451∗accptHB-5.8373∗glob+0.2700∗EA(eV)Figure optionsDownload as PowerPoint slide