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NMR processing:
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NOEs:
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Structure from NMR restraints:
Ab initio:
GeNMR
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Fragment-based:
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Template-based:
GeNMR
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Refinement:
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Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
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Homology-based:
CS23D
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Torsion angles from chemical shifts:
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Secondary structure from chemical shifts:
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Flexibility from chemical shifts:
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Interactions from chemical shifts:
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Chemical shifts re-referencing:
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RDCs:
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Pseudocontact shifts:
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NMR spectrum prediction:
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Flexibility from structure:
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Molecular dynamics:
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Chemical shifts prediction:
From structure:
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From sequence:
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Disordered proteins:
MAXOCC
Format conversion & validation:
CCPN
From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
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Protein solubility:
camLILA
ccSOL
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camGroEL
Zyggregator
Isotope labeling:
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Solid-state NMR:
sedNMR


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Old 11-24-2010, 10:01 PM
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Default Application of sparse NMR restraints to large-scale protein structure prediction.

Application of sparse NMR restraints to large-scale protein structure prediction.

Related Articles Application of sparse NMR restraints to large-scale protein structure prediction.

Biophys J. 2004 Aug;87(2):1241-8

Authors: Li W, Zhang Y, Skolnick J


The protein structure prediction algorithm TOUCHSTONEX that uses sparse distance restraints derived from NMR nuclear Overhauser enhancement (NOE) data to predict protein structures at low-to-medium resolution was evaluated as follows: First, a representative benchmark set of the Protein Data Bank library consisting of 1365 proteins up to 200 residues was employed. Using N/8 simulated long-range restraints, where N is the number of residues, 1023 (75%) proteins were folded to a C(alpha) root-mean-square deviation (RMSD) from native
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