Comparison of logP and logD correction models trained with public and proprietary data sets.

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Bibliographic Details
Title: Comparison of logP and logD correction models trained with public and proprietary data sets.
Authors: Aliagas, Ignacio1, imaliagas@gmail.com, Gobbi, Alberto1, Lee, Man-Ling1, Sellers, Benjamin D.1
Source: Journal of Computer-Aided Molecular Design; Mar2022, Vol. 36 Issue 3, p253-262, 10p
Database: Applied Science & Technology Source
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