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Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.

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Title: Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.
Authors: Bergazin, Teresa Danielle1, Tielker, Nicolas2, Zhang, Yingying3, Mao, Junjun4, Gunner, M. R.3,4, Francisco, Karol5, Ballatore, Carlo5, Kast, Stefan M.2, Mobley, David L.1,6, dmobley@uci.edu
Source: Journal of Computer-Aided Molecular Design; Jul2021, Vol. 35 Issue 7, p771-802, 32p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151508572
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PubTypeId: academicJournal
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  Data: Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer-Aided+Molecular+Design%22">Journal of Computer-Aided Molecular Design</searchLink>; Jul2021, Vol. 35 Issue 7, p771-802, 32p
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      – Type: doi
        Value: 10.1007/s10822-021-00397-3
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 771
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      – TitleFull: Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.
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              Text: Jul2021
              Type: published
              Y: 2021
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              Value: 35
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