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Predictive software packages to estimate the lipophilicity of molecules have become key tools in the new drug design. Six different well-known computational programs including the classical BioByte-clogP and the GALAS algorithm offered by ACDlabs were evaluated through a set of 103 drugs with different structures and functionalities. To evaluate the predictions accuracy, reliable experimental log P o/w values for the whole testing set were carefully selected. The best estimations are performed by GALAS/logP based on the fragmental method, corrected according to the similarity with compounds included in the software training set.

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