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ACD/Log P method description

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Perspectives in Drug Discovery and Design

Abstract

This study describes the development of the ACD/Log P calculation method. Analysis of 14 calculation methods revealed that the most accurate calculations are obtained when correction factors are used. We evaluated the correction factors used by Hansch and Leo in CLOGP in order to simplify their method. Most of the CLOGP structural factors are included in our fragmental increments. Aliphatic and aromatic factors are replaced with additive interfragmental increments. Missing increments are estimated by two empirical equations with simple physical interpretation. The final method uses three simple equations with several types of parameters. The training set included 3601 compounds and the correlation between experimental and calculated Log P values gave R = 0.992, S = 0.21. The method was validated by comparing it with 17 other methods on various data sets of independently selected drugs and other compounds. In all cases, our method produced the best results. The weakness of this method is that it uses a large number of individual increments for aromatic interactions. Each increment represents a combination of several effects which presently cannot be separated.

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Authors and Affiliations

  1. ACD, Inc., 133 Richmond St. W., Suite 605, Toronto, ON, Canada, M5H 2L3

    Alanas A. Petrauskas

  2. ACD, Inc., 133 Richmond St. W., Suite 605, Toronto, ON, Canada, M5H 2L3

    Eduard A. Kolovanov

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  1. Alanas A. Petrauskas
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  2. Eduard A. Kolovanov
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Correspondence to Alanas A. Petrauskas.

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Petrauskas, A.A., Kolovanov, E.A. ACD/Log P method description. Perspectives in Drug Discovery and Design 19, 99–116 (2000). https://doi.org/10.1023/A:1008719622770

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