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

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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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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156222010
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Comparison of logP and logD correction models trained with public and proprietary data sets.
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  Data: <searchLink fieldCode="AU" term="%22Aliagas%2C+Ignacio%22">Aliagas, Ignacio</searchLink><relatesTo>1</relatesTo>, <i>imaliagas@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Gobbi%2C+Alberto%22">Gobbi, Alberto</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lee%2C+Man-Ling%22">Lee, Man-Ling</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sellers%2C+Benjamin+D%2E%22">Sellers, Benjamin D.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer-Aided+Molecular+Design%22">Journal of Computer-Aided Molecular Design</searchLink>; Mar2022, Vol. 36 Issue 3, p253-262, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156222010
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      – Type: doi
        Value: 10.1007/s10822-022-00450-9
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 253
    Titles:
      – TitleFull: Comparison of logP and logD correction models trained with public and proprietary data sets.
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            NameFull: Aliagas, Ignacio
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            NameFull: Gobbi, Alberto
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            NameFull: Lee, Man-Ling
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              Text: Mar2022
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              Y: 2022
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              Value: 36
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