Computational prediction of monosaccharide binding free energies to lectins with linear interaction energy models
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Deciphering the Glycan Preference of Bacterial Lectins by Glycan Array and Molecular Docking with Validation by Microcalorimetry and CrystallographyBinding to and Inhibition of Insulin-Regulated Aminopeptidase by Macrocyclic Disulfides Enhances Spine Density.Distinct roles for each N-glycan branch interacting with mannose-binding type Jacalin-related lectins Orysata and Calsepa.
P2860
Computational prediction of monosaccharide binding free energies to lectins with linear interaction energy models
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im Juli 2012 veröffentlichter wissenschaftlicher Artikel
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wetenschappelijk artikel
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наукова стаття, опублікована в липні 2012
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name
Computational prediction of mo ...... near interaction energy models
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Computational prediction of mo ...... near interaction energy models
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type
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Computational prediction of mo ...... near interaction energy models
@en
Computational prediction of mo ...... near interaction energy models
@nl
prefLabel
Computational prediction of mo ...... near interaction energy models
@en
Computational prediction of mo ...... near interaction energy models
@nl
P2860
P356
P1476
Computational prediction of mo ...... near interaction energy models
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P2093
Johan Sund
Johan Åqvist
P2860
P304
P356
10.1002/JCC.23081
P577
2012-07-27T00:00:00Z