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NOEs:
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UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
ASDP
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Fragment-based:
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Template-based:
GeNMR
I-TASSER
Refinement:
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Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
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Torsion angles from chemical shifts:
Preditor
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Secondary structure from chemical shifts:
CSI (via RCI server)
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MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
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Interactions from chemical shifts:
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Chemical shifts re-referencing:
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MetaMQAPII
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Ramachandran Plot
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Verify_3D
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NMR spectrum prediction:
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Flexibility from structure:
Backbone S2
Methyl S2
B-factor
Molecular dynamics:
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Chemical shifts prediction:
From structure:
Shiftx2
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CH3shift- Methyl
ArShift- Aromatic
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Proshift
PPM
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From sequence:
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Camcoil
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Disordered proteins:
MAXOCC
Format conversion & validation:
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From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
DisMeta
Protein solubility:
camLILA
ccSOL
Camfold
camGroEL
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Isotope labeling:
UPLABEL
Solid-state NMR:
sedNMR


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Default Automated solid-state NMR resonance assignment of protein microcrystals and amyloids.

Automated solid-state NMR resonance assignment of protein microcrystals and amyloids.

Related Articles Automated solid-state NMR resonance assignment of protein microcrystals and amyloids.

J Biomol NMR. 2013 May 21;

Authors: Schmidt E, Gath J, Habenstein B, Ravotti F, Székely K, Huber M, Buchner L, Böckmann A, Meier BH, Güntert P

Abstract
Solid-state NMR is an emerging structure determination technique for crystalline and non-crystalline protein assemblies, e.g., amyloids. Resonance assignment constitutes the first and often very time-consuming step to a structure. We present ssFLYA, a generally applicable algorithm for automatic assignment of protein solid-state NMR spectra. Application to microcrystals of ubiquitin and the Ure2 prion C-terminal domain, as well as amyloids of HET-s(218-289) and ?-synuclein yielded 88-97*% correctness for the backbone and side-chain assignments that are classified as self-consistent by the algorithm, and 77-90*% correctness if also assignments classified as tentative by the algorithm are included.


PMID: 23689812 [PubMed - as supplied by publisher]



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