DAVID SNYDER

William Paterson University of New Jersey

Affiliations

William Paterson University of New Jersey

NoneDavid Snyder is currently serving as a William Paterson University Of New Jersey faculty at William Paterson University of New Jersey.

Honors

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Experiences

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Education

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DAVID SNYDER

William Paterson University of New Jersey

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structural biology nuclear magnetic resonance molecular biology protein structure protein science biochemistry biophysics structural molecular biology biomolecular structure protein nmr structural bioinformatics physical chemistry protein structure prediction protein modeling biomolecular engineering bioinformatics spectroscopy molecular informatics protein x-ray crystallography structural genomics crystallography chemical biology magnetic resonance quantum chemistry nucleic acids crystal structures structure determination protein chemistry metalloproteins biomolecular analysis nmr ensemble nmr structure chemical shift data zinc-ligated cysteine residues small proteins nmr spectra nmr spectral quality universal restraint converter multidimensional spin correlations nmr data corresponding author protein structures rmsd calculations sound rmsd values rmsd‐stable domain complex mixture analysis

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of Cold-Cop to Detecting Competitively and Cooperatively Binding Ligands. Biomolecules (2024)

Signal Processing for Highly Resolved 2D Nmr. (2023)

Patterns in Protein Flexibility: A Comparison of Nmr “Ensembles”, MD Trajectories, and Crystallographic B-Factors. Molecules (2021)

On Bounding the Thompson Metric by Schatten Norms. Cogent Mathematics & Statistics (2019)

Protein Structure Prediction Assisted With Sparse Nmr Data in Casp13. Proteins Structure Function and Bioinformatics (2019)

Davide SalaYuanpeng Janet HuangCasey A. ColeDavid A. SnyderGaohua LiuYojiro IshidaG.V.T. SwapnaKelly P. BrockChris SanderKrzysztof FidelisAndriy KryshtafovychMasayori InouyeRoberto TejeroHomayoun ValafarAntonio RosatoGaetano T. Montelione

protein structure predictionprotein modelingsystems biologyprotein structurecasp13 targetsmolecular biologystructural bioinformaticsprediction methodscasp13 groupstructural biologynuclear magnetic resonanceprotein sciencemolecular informaticsbioinformatics

Prediction of Protein Flexibility Using a Conformationally Restrained Contact Map. Proteins Structure Function and Bioinformatics (2018)

A Community Resource of Experimental Data for Nmr / X ‐Ray Crystal Structure Pairs. Protein Science (2015)

John K. EverettRoberto TejeroSarath B. K. MurthyThomas B. ActonJames M. AraminiMichael C. BaranJordi BenachJohn R. CortAlexander EletskyFarhad ForouharRongjin GuanAlexandre P. KuzinHsiau‐Wei LeeGaohua LiuRajeswari ManiBinchen MaoJeffrey L. MillsAlexander F. MontelioneKari PedersonRobert PowersTheresa RamelotPaolo RossiJayaraman SeetharamanDavid SnyderG. V. T. SwapnaSergey M. VorobievYibing WuRong XiaoYunhuang YangCheryl H. ArrowsmithJohn F. HuntMichael A. KennedyJames H. PrestegardThomas SzyperskiLiang TongGaetano T. Montelione

structural genomicsprotein structurebiomolecular structureprotein nmrmolecular biologystructural molecular biologyprotein x-ray crystallographystructural bioinformaticsx-ray diffraction datastructural biologynuclear magnetic resonancecommunity resourcebiochemistry

Analysis of Ligand–Protein Exchange by Clustering of Ligand Diffusion Coefficient Pairs (Cold-Cop). Journal of Magnetic Resonance (2015)

Chapter 10. Multi-Dimensional Spin Correlations by Covariance Nmr. Royal Society of Chemistry eBooks (2015)

David A. SnyderRafael Brüschweiler

covariance nmrbiophysicsphysical chemistrychemistrymulti-dimensional spin correlations

PDBSTAT: A Universal Restraint Converter and Restraint Analysis Software Package for Protein Nmr. Journal of Biomolecular NMR (2013)

Roberto TejeroDavid SnyderBinchen MaoJames M. AraminiGaetano T. Montelione

universal restraint converterprotein structurebiomolecular structureprotein nmrbiomolecular analysismolecular biologystructural molecular biologystructural bioinformaticsstructural biologynuclear magnetic resonanceprotein sciencebiochemistrybioinformatics