"Comparison of logP and logD correction models trained with public and ..."

Ignacio Aliagas et al. (2022)

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DOI: 10.1007/S10822-022-00450-9

access: closed

type: Journal Article

metadata version: 2023-06-26

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Ignacio Aliagas, Alberto Gobbi, Man-Ling Lee, Benjamin D. Sellers:
Comparison of logP and logD correction models trained with public and proprietary data sets. J. Comput. Aided Mol. Des. 36(3): 253-262 (2022)

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