NMR paper A high-resolution technique for multidimensional NMR spectroscopy.

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[NMR paper] A high-resolution technique for multidimensional NMR spectroscopy.

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NMR processing:

MDD

NMR assignment:

Backbone:

Side-chains:

NOEs:

Structure from NMR restraints:

Ab initio:

Fragment-based:

Rosetta-NMR (Robetta)

Template-based:

GeNMR

I-TASSER

Refinement:

Amber

Structure from chemical shifts:

Fragment-based:

Homology-based:

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:

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NOEs, other restraints:

Chemical shifts:

RDCs:

Pseudocontact shifts:

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SAVES2 or SAVES4

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V-NMR

Flexibility from structure:

Backbone S2

Methyl S2

B-factor

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Shiftx2

Sparta+

Camshift

CH3shift- Methyl

ArShift- Aromatic

ShiftS

Proshift

PPM

CheShift-2- Cα

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Shifty

Camcoil

Poulsen_rc_CS

Disordered proteins:

MAXOCC

Format conversion & validation:

CCPN

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NMR sample preparation:

Protein disorder:

DisMeta

Protein solubility:

Isotope labeling:

Solid-state NMR:

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11-17-2010, 11:06 PM

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A high-resolution technique for multidimensional NMR spectroscopy.

A high-resolution technique for multidimensional NMR spectroscopy.

Related Articles A high-resolution technique for multidimensional NMR spectroscopy.

IEEE Trans Biomed Eng. 1998 Jan;45(1):78-86

Authors: Li Y, Razavilar J, Liu KJ

In this paper, a scheme for estimating frequencies and damping factors of multidimensional nuclear magnetic resonance (NMR) data is presented, multidimensional NMR data can be modeled as the sum of several multidimensional damped sinusoids. The estimated frequencies and damping factors of multidimensional NMR data play important roles in determining protein structures. In this paper we present a high-resolution subspace method for estimating the parameters of NMR data. Unlike other methods, this algorithm makes full use of the rank-deficiency and Hankel properties of the prediction matrix composed of NMR data. Hence, it can estimate the signal parameters under low signal-to-noise ratio (SNR) by using a few data points. The effectiveness of the new algorithm is confirmed by computer simulations and it is tested by experimental data.

PMID: 9444842 [PubMed - indexed for MEDLINE]

Source: PubMed

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