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NMR processing:
MDD
NMR assignment:
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MARS
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PINE
Side-chains:
UNIO ATNOS-Ascan
NOEs:
UNIO ATNOS-Candid
UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
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Fragment-based:
BMRB CS-Rosetta
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Refinement:
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Structure from chemical shifts:
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WeNMR CS-Rosetta
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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:
RCI
Interactions from chemical shifts:
HADDOCK
Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
CheckShift
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NMR model quality:
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iCing
RDCs:
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Pseudocontact shifts:
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What-If
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SAVES2 or SAVES4
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NMR spectrum prediction:
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Flexibility from structure:
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Methyl S2
B-factor
Molecular dynamics:
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Chemical shifts prediction:
From structure:
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ArShift- Aromatic
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Proshift
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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
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camGroEL
Zyggregator
Isotope labeling:
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sedNMR


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Default Fitting Force Field Parameters to NMR Relaxation Data

Fitting Force Field Parameters to NMR Relaxation Data

We present an approach to optimize force field parameters using time-dependent data from NMR relaxation experiments. To do so, we scan parameters in the dihedral angle potential energy terms describing the rotation of the methyl groups in proteins and compare NMR relaxation rates calculated from molecular dynamics simulations with the modified force fields to deuterium relaxation measurements of T4 lysozyme. We find that a small modification of C^(?) methyl groups improves the agreement with...

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