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Using Membrane Partitioning Simulations To Predict Permeability of Forty-Nine Drug-Like Molecules.

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Title: Using Membrane Partitioning Simulations To Predict Permeability of Forty-Nine Drug-Like Molecules.
Authors: Dickson CJ; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States., Hornak V; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States., Bednarczyk D; PK Sciences , Novartis Institutes for BioMedical Research , 250 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States., Duca JS; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.
Source: Journal of chemical information and modeling [J Chem Inf Model] 2019 Jan 28; Vol. 59 (1), pp. 236-244. Date of Electronic Publication: 2018 Dec 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Dickson+CJ%22">Dickson CJ</searchLink>; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.<br /><searchLink fieldCode="AU" term="%22Hornak+V%22">Hornak V</searchLink>; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.<br /><searchLink fieldCode="AU" term="%22Bednarczyk+D%22">Bednarczyk D</searchLink>; PK Sciences , Novartis Institutes for BioMedical Research , 250 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.<br /><searchLink fieldCode="AU" term="%22Duca+JS%22">Duca JS</searchLink>; Computer-Aided Drug Discovery, Global Discovery Chemistry , Novartis Institutes for BioMedical Research , 181 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101230060 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-960X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215499596%22">15499596 </searchLink><i>NLM ISO Abbreviation: </i>J Chem Inf Model <i>Subsets: </i>MEDLINE
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        Value: 10.1021/acs.jcim.8b00744
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      – Code: eng
        Text: English
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      – TitleFull: Using Membrane Partitioning Simulations To Predict Permeability of Forty-Nine Drug-Like Molecules.
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              Text: 2019 Jan 28
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