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NMR processing:
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Side-chains:
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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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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:
CSI (via RCI server)
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Flexibility from chemical shifts:
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Interactions from chemical shifts:
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Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
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NMR model quality:
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Pseudocontact shifts:
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Protein geomtery:
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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
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Molecular dynamics:
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Chemical shifts prediction:
From structure:
Shiftx2
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Camshift
CH3shift- Methyl
ArShift- Aromatic
ShiftS
Proshift
PPM
CheShift-2- Cα
From sequence:
Shifty
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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Default Protocol To Make Protein NMR Structures Amenable to Stable Long Time Scale Molecular Dynamics Simulations.

Protocol To Make Protein NMR Structures Amenable to Stable Long Time Scale Molecular Dynamics Simulations.

Related Articles Protocol To Make Protein NMR Structures Amenable to Stable Long Time Scale Molecular Dynamics Simulations.

J Chem Theory Comput. 2014 Apr 8;10(4):1781-7

Authors: Li DW, Brüschweiler R

Abstract
A robust protocol for the treatment of NMR protein structures is presented that makes them amenable to long time scale molecular dynamics (MD) simulations that are stable. The protocol embeds an NMR structure in a native low energy region of the recently developed ff99SB_??(g24;CS) molecular mechanics force field. Extended MD trajectories that start from these structures show good consistency with proton-proton nuclear Overhauser effect data, and they reproduce NMR chemical shift data better than the original NMR structures as is demonstrated for four protein systems. Moreover, for all proteins studied here the simulations spontaneously approach the X-ray crystal structures, thereby improving the effective resolution of the initial structural models.


PMID: 26580385 [PubMed - in process]



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