RESUMEN
BACKGROUND: In this study, we used a hierarchical approach to develop quantitative structureactivity relationship (QSAR) models for modeling lipophilicity of a set of 81 aniline derivatives containing some pharmaceutical compounds. OBJECTIVE: The multiple linear regression (MLR), principal component regression (PCR) and partial least square regression (PLSR) methods were utilized to construct QSAR models. MATERIALS AND METHODS: Quantum mechanical calculations at the density functional theory level and 6- 311++G** basis set were carried out to obtain the optimized geometry and then, the comprehensive set of molecular descriptors was computed by using the Dragon software. Genetic algorithm (GA) was applied to select suitable descriptors which have the most correlation with lipophilicity of the studied compounds. RESULTS: It was identified that such descriptors as Barysz matrix (SEigZ), hydrophilicity factor (Hy), Moriguchi octanol-water partition coefficient (MLOGP), electrophilicity (ω/eV) van der Waals volume (vWV) and lethal concentration (LC50/molkg-1) are the best descriptors for QSAR modeling. The high correlation coefficients and the low prediction errors for MLR, PCR and PLSR methods confirmed good predictability of the three models. CONCLUSION: In present study, the high correlation between experimental and predicted logP values of aniline derivatives indicated the validation and the good quality of the resulting three regression methods, but MLR regression procedure was a little better than the PCR and PLSR methods. It was concluded that the studied aniline derivatives are not hydrophilic compounds and this means these compounds hardly dissolve in water or an aqueous solvent.
Asunto(s)
Compuestos de Anilina/química , Interacciones Hidrofóbicas e Hidrofílicas , Relación Estructura-Actividad Cuantitativa , Algoritmos , Teoría Funcional de la Densidad , Modelos Lineales , Lípidos/química , Modelos Moleculares , SolubilidadRESUMEN
Incontinentia Pigmenti (IP) is a rare X-linked dominant disorder with skin, eye, central nervous system (CNS) and tooth abnormalities. According to the reported cases, it is estimated that there have been nearly 900-1200 affected individuals. In this article, the literature is reviewed and a case of IP with characteristic skin lesions and optic atrophy is presented.