Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

@en

Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

@en

Protein Structure Elucidation from NMR Data with the Program Xplor-NIH.

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P1476

Protein Structure Elucidation from NMR Data with the Program Xplor-NIH

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P2093

Charles D Schwieters

http://www.w3.org/2001/XMLSchema#string

Guillermo A Bermejo

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P2860

The Xplor-NIH NMR molecular structure determination package

Using small angle solution scattering data in Xplor-NIH structure calculations

An empirical backbone-backbone hydrogen-bonding potential in proteins and its applications to NMR structure refinement and validation.

A practical implicit solvent potential for NMR structure calculation.

A maximum likelihood method for determining D(a)(PQ) and R for sets of dipolar coupling data.

Ensemble approach for NMR structure refinement against (1)H paramagnetic relaxation enhancement data arising from a flexible paramagnetic group attached to a macromolecule.

How much backbone motion in ubiquitin is required to account for dipolar coupling data measured in multiple alignment media as assessed by independent cross-validation?

Ensemble calculations of unstructured proteins constrained by RDC and PRE data: a case study of urea-denatured ubiquitin.

Determination of three-dimensional structures of proteins from interproton distance data by hybrid distance geometry-dynamical simulated annealing calculations.

Smooth statistical torsion angle potential derived from a large conformational database via adaptive kernel density estimation improves the quality of NMR protein structures.

P304

311-340

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scholarly article

P356

10.1007/978-1-4939-7386-6_14

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English

P478

1688

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P50

Charles D Schwieters

P577

2018-01-01T00:00:00Z

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P698

29151215

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P932

6771931

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