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A coarse‐grained approach to NMR‐data‐assisted modeling of protein structures.

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Title: A coarse‐grained approach to NMR‐data‐assisted modeling of protein structures.
Authors: Lubecka, Emilia A.1, emilubec@eti.pg.edu.pl, Liwo, Adam2
Source: Journal of Computational Chemistry; 12/5/2022, Vol. 43 Issue 31, p2047-2059, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159652856
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A coarse‐grained approach to NMR‐data‐assisted modeling of protein structures.
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  Data: <searchLink fieldCode="AU" term="%22Lubecka%2C+Emilia+A%2E%22">Lubecka, Emilia A.</searchLink><relatesTo>1</relatesTo>, <i>emilubec@eti.pg.edu.pl</i><br /><searchLink fieldCode="AU" term="%22Liwo%2C+Adam%22">Liwo, Adam</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Chemistry%22">Journal of Computational Chemistry</searchLink>; 12/5/2022, Vol. 43 Issue 31, p2047-2059, 13p
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        Value: 10.1002/jcc.27003
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 2047
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      – TitleFull: A coarse‐grained approach to NMR‐data‐assisted modeling of protein structures.
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            NameFull: Lubecka, Emilia A.
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            NameFull: Liwo, Adam
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              Text: 12/5/2022
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              Y: 2022
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