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NMR processing:
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NMR assignment:
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MARS
UNIO Match
PINE
Side-chains:
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NOEs:
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UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
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UNIO ATNOS-Candid
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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:
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Torsion angles from chemical shifts:
Preditor
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Secondary structure from chemical shifts:
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TALOS
MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
RCI
Interactions from chemical shifts:
HADDOCK
Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
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CheckShift
RefDB
NMR model quality:
NOEs, other restraints:
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Chemical shifts:
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Vasco
iCing
RDCs:
DC
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Pseudocontact shifts:
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Protein geomtery:
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What-If
iCing
PSVS
MolProbity
SAVES2 or SAVES4
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MetaMQAPII
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STAN
Ramachandran Plot
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ERRAT
Verify_3D
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NMR spectrum prediction:
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V-NMR
Flexibility from structure:
Backbone S2
Methyl S2
B-factor
Molecular dynamics:
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Chemical shifts prediction:
From structure:
Shiftx2
Sparta+
Camshift
CH3shift- Methyl
ArShift- Aromatic
ShiftS
Proshift
PPM
CheShift-2- Cα
From sequence:
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Camcoil
Poulsen_rc_CS
Disordered proteins:
MAXOCC
Format conversion & validation:
CCPN
From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
DisMeta
Protein solubility:
camLILA
ccSOL
Camfold
camGroEL
Zyggregator
Isotope labeling:
UPLABEL
Solid-state NMR:
sedNMR


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Old 07-26-2024, 08:55 PM
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Default MetSCORE: a molecular metric to evaluate the risk of metabolic syndrome based on serum NMR metabolomics

MetSCORE: a molecular metric to evaluate the risk of metabolic syndrome based on serum NMR metabolomics

CONCLUSIONS: We believe that MetSCORE may be an insightful tool for early intervention and lifestyle modifications, potentially preventing the aggravation of metabolic syndrome.

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