Sparse labeling of proteins: Structural characterization from long range constraints-Reference-Cited by-同舟云学术

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Sparse labeling of proteins: Structural characterization from long range constraints

Published:2014-04 Issue: Volume:241 Page:32-40
ISSN:1090-7807
Container-title:Journal of Magnetic Resonance
language:en
Short-container-title:Journal of Magnetic Resonance

Author:

Prestegard James H.,Agard David A.,Moremen Kelley W.,Lavery Laura A.,Morris Laura C.,Pederson Kari

Funder

NIH

NIH PSI

PSI:Biology

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Nuclear and High Energy Physics,Biochemistry,Biophysics

Reference78 articles.

1. NMR studies of protein structure and dynamics;Kay;J. Magn. Reson.,2005

2. On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database;Apweiler;Biochim. Biophys. Acta – Gen. Subjects,1999

3. Vertebrate protein glycosylation: diversity, synthesis and function;Moremen;Nat. Rev. Mol. Cell Biol.,2012

4. Post-translational modifications of protein biopharmaceuticals;Walsh;Drug Discovery Today,2010

5. Modeling pilus structures from sparse data;Campos;J. Struct. Biol.,2011

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2. Advances in liquid-state NMR spectroscopy to study the structure, function, and dynamics of biomacromolecules;Advances in Protein Molecular and Structural Biology Methods;2022

3. An Integrative Approach to Determine 3D Protein Structures Using Sparse Paramagnetic NMR Data and Physical Modeling;Frontiers in Molecular Biosciences;2021-08-12

4. Sparse isotope labeling for nuclear magnetic resonance (NMR) of glycoproteins using 13C-glucose;Glycobiology;2020-09-08

5. Automated assignment of methyl NMR spectra from large proteins;Progress in Nuclear Magnetic Resonance Spectroscopy;2020-06

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