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NMR processing:
MDD
NMR assignment:
Backbone:
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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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Old 04-24-2013, 09:48 PM
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Default Quantitative Analysis of STD-NMR Spectra of Reversibly Forming Ligand-Receptor Complexes.

Quantitative Analysis of STD-NMR Spectra of Reversibly Forming Ligand-Receptor Complexes.

Related Articles Quantitative Analysis of STD-NMR Spectra of Reversibly Forming Ligand-Receptor Complexes.

Top Curr Chem. 2008;273:15-54

Authors: Krishna NR, Jayalakshmi V

Abstract
We describe our work on the quantitative analysis of STD-NMR spectra of reversibly forming ligand-receptorcomplexes. This analysis is based on the theory of complete relaxation and conformational exchange matrixanalysis of saturation transfer (CORCEMA-ST) effects. As part of this work, we have developed two separateversions of the CORCEMA-ST program. The first version predicts the expected STD intensities for a*givenmodel of a*ligand-protein complex, and compares them quantitatively with the experimental data.This version is very useful for rapidly determining if a*model for a*given ligand-proteincomplex is compatible with the STD-NMR data obtained in solution. It is also useful in determining theoptimal experimental conditions for undertaking the STD-NMR measurements on a*given complex by computersimulations. In the second version of the CORCEMA-ST program, we have implemented a*torsion anglerefinement feature for the bound ligand within the protein binding pocket. In this approach, the globalminimum for the bound ligand conformation is obtained by a*hybrid structure refinement protocol involvingCORCEMA-ST calculation of intensities and simulated annealing refinement of torsion angles of the boundligand using STD-NMR intensities as experimental constraints to minimize a*pseudo-energy function.This procedure is useful in refining and improving the initial models based on crystallography, computerdocking, or other procedures to generate models for the bound ligand within the protein binding pocket compatiblewith solution STD-NMR data. In this chapter we describe the properties of the STD-NMR spectra, includingthe dependence of the intensities on various parameters. We also describe the results of the CORCEMA-STanalyses of experimental STD-NMR data on some ligand-protein complexes to illustrate the quantitativeanalysis of the data using this method. This CORCEMA-ST program is likely to be useful in structure-baseddrug design efforts.


PMID: 23605458 [PubMed]



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