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David A. Snyder
David A. Snyder
Professor of Chemistry, William Paterson University
Bestätigte E-Mail-Adresse bei wpunj.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A large data set comparison of protein structures determined by crystallography and NMR: statistical test for structural differences and the effect of crystal packing
M Andrec, DA Snyder, Z Zhou, J Young, GT Montelione, RM Levy
Proteins: Structure, Function, and Bioinformatics 69 (3), 449-465, 2007
1392007
Comparisons of NMR spectral quality and success in crystallization demonstrate that NMR and X-ray crystallography are complementary methods for small protein structure …
DA Snyder, Y Chen, NG Denissova, T Acton, JM Aramini, M Ciano, ...
Journal of the American Chemical Society 127 (47), 16505-16511, 2005
1102005
Identification of Zinc-ligated Cysteine Residues Based on 13Cα and 13Cβ Chemical Shift Data
GJ Kornhaber, D Snyder, HNB Moseley, GT Montelione
Journal of biomolecular NMR 34, 259-269, 2006
972006
Generalized indirect covariance NMR formalism for establishment of multidimensional spin correlations
DA Snyder, R Brüschweiler
The Journal of Physical Chemistry A 113 (46), 12898-12903, 2009
642009
PDBStat: a universal restraint converter and restraint analysis software package for protein NMR
R Tejero, D Snyder, B Mao, JM Aramini, GT Montelione
Journal of biomolecular NMR 56, 337-351, 2013
632013
Clustering algorithms for identifying core atom sets and for assessing the precision of protein structure ensembles
DA Snyder, GT Montelione
Proteins: Structure, Function, and Bioinformatics 59 (4), 673-686, 2005
582005
Assessing precision and accuracy of protein structures derived from NMR data
DA Snyder, A Bhattacharya, YJ Huang, GT Montelione
Proteins: Structure, Function, and Bioinformatics 59 (4), 655-661, 2005
572005
Resolution-enhanced 4D 15N/13C NOESY protein NMR spectroscopy by application of the covariance transform
DA Snyder, Y Xu, D Yang, R Brüschweiler
Journal of the American Chemical Society 129 (46), 14126-14127, 2007
382007
Covariance NMR in higher dimensions: application to 4D NOESY spectroscopy of proteins
DA Snyder, F Zhang, R Brüschweiler
Journal of biomolecular NMR 39, 165-175, 2007
362007
Quantitative covariance NMR by regularization
Y Chen, F Zhang, D Snyder, Z Gan, L Bruschweiler-Li, R Brüschweiler
Journal of biomolecular NMR 38, 73-77, 2007
352007
A covariance NMR toolbox for MATLAB and OCTAVE
T Short, L Alzapiedi, R Brüschweiler, D Snyder
Journal of Magnetic Resonance 209 (1), 75-78, 2011
332011
A community resource of experimental data for NMR/X‐ray crystal structure pairs
JK Everett, R Tejero, SBK Murthy, TB Acton, JM Aramini, MC Baran, ...
Protein science 25 (1), 30-45, 2016
292016
Non-negative matrix factorization of two-dimensional NMR spectra: Application to complex mixture analysis
DA Snyder, F Zhang, SL Robinette, L Bruschweiler-Li, R Brüschweiler
The Journal of chemical physics 128 (5), 2008
292008
Z-matrix formalism for quantitative noise assessment of covariance nuclear magnetic resonance spectra
DA Snyder, A Ghosh, F Zhang, T Szyperski, R Brüschweiler
The Journal of chemical physics 129 (10), 2008
252008
Protein structure prediction assisted with sparse NMR data in CASP13
D Sala, YJ Huang, CA Cole, DA Snyder, G Liu, Y Ishida, GVT Swapna, ...
Proteins: Structure, Function, and Bioinformatics 87 (12), 1315-1332, 2019
212019
L. Br üschweiler-Li, R. Br üschweiler
DA Snyder, F Zhang, SL Robinette
J. Chem. Phys 128, 052313, 2008
212008
The expanded FindCore method for identification of a core atom set for assessment of protein structure prediction
DA Snyder, J Grullon, YJ Huang, R Tejero, GT Montelione
Proteins: Structure, Function, and Bioinformatics 82, 219-230, 2014
192014
Covariance NMR: Theoretical concerns, practical considerations, contemporary applications and related techniques
DA Snyder
Progress in Nuclear Magnetic Resonance Spectroscopy 122, 1-10, 2021
162021
Multidimensional correlation spectroscopy by covariance NMR
DA Snyder, R Brüschweiler
eMagRes, 2007
162007
Modern NMR Approaches to the Structure Elucidation of Natural Products: Volume 2: Data Acquisition and Applications to Compound Classes
A Williams, G Martin, D Rovnyak
Royal Society of Chemistry, 2016
92016
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