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NMR processing:
MDD
NMR assignment:
Backbone:
Autoassign
MARS
UNIO Match
PINE
Side-chains:
UNIO ATNOS-Ascan
NOEs:
UNIO ATNOS-Candid
UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
ASDP
UNIO ATNOS-Candid
UNIO Candid
Fragment-based:
BMRB CS-Rosetta
Rosetta-NMR (Robetta)
Template-based:
GeNMR
I-TASSER
Refinement:
Amber
Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
Simshift
Torsion angles from chemical shifts:
Preditor
TALOS
Promega- Proline
Secondary structure from chemical shifts:
CSI (via RCI server)
TALOS
MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
RCI
Interactions from chemical shifts:
HADDOCK
Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
CheckShift
RefDB
NMR model quality:
NOEs, other restraints:
PROSESS
PSVS
RPF scores
iCing
Chemical shifts:
PROSESS
CheShift2
Vasco
iCing
RDCs:
DC
Anisofit
Pseudocontact shifts:
Anisofit
Protein geomtery:
Resolution-by-Proxy
PROSESS
What-If
iCing
PSVS
MolProbity
SAVES2 or SAVES4
Vadar
Prosa
ProQ
MetaMQAPII
PSQS
Eval123D
STAN
Ramachandran Plot
Rampage
ERRAT
Verify_3D
Harmony
Quality Control Check
NMR spectrum prediction:
FANDAS
MestReS
V-NMR
Flexibility from structure:
Backbone S2
Methyl S2
B-factor
Molecular dynamics:
Gromacs
Amber
Antechamber
Chemical shifts prediction:
From structure:
Shiftx2
Sparta+
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 Simulation of NMR data from oriented membrane proteins: practical information for exp

Simulation of NMR data from oriented membrane proteins: practical information for experimental design.

Related Articles Simulation of NMR data from oriented membrane proteins: practical information for experimental design.

Biophys J. 1993 Oct;65(4):1460-9

Authors: Sanders CR, Schwonek JP

Several hundred solid state NMR dipolar couplings and chemical shift anisotropies were simulated for the polytopic membrane protein, bacteriorhodopsin, and for an idealized transmembrane peptide conforming to several different secondary structures (alpha- and 3(10)-helices and parallel and antiparallel beta-sheets), each at several tilt angles with respect to the bilayer normal. The use of macroscopically oriented samples was assumed. The results of these simulations suggest: (i) Because of the r-3 dependence of dipolar coupling, it is likely to prove difficult to successfully execute uniform isotopic enrichment strategies to generate large numbers of quantitatively interpretable structural measurements in oriented sample NMR studies of membrane proteins. (ii) There are a number of readily implementable specific isotopic labeling schemes which can yield data patterns sufficient to identify local secondary structure for transmembrane segments of idealized proteins which are tilted by < 10 degrees with respect to the bilayer normal. (iii) The measurement of dipolar coupling constants between 13C-, 19F-, and/or 3H-labeled side chains of proximal residues may prove effective as routes to long range tertiary structural data constraints.

PMID: 8274640 [PubMed - indexed for MEDLINE]



Source: PubMed
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