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

Crossref DOI link: https://doi.org/10.1007/s10822-022-00450-9

Published Online: 2022-04-01

Published Print: 2022-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Aliagas, Ignacio http://orcid.org/0000-0003-2756-2057
Gobbi, Alberto

Lee, Man-Ling

Sellers, Benjamin D.
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Text and Data Mining valid from 2022-03-01

Version of Record valid from 2022-03-01
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Article History

Received: 5 October 2021

Accepted: 15 March 2022

First Online: 1 April 2022