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

Saved in:
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
Full text is not displayed to guests.
Description
ISSN:0920654X
DOI:10.1007/s10822-022-00450-9