FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation

Sven G. Hyberts; Dominique P. Frueh; Haribabu Arthanari; Gerhard Wagner

doi:10.1007/s10858-009-9368-1

FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation

Sven G. Hyberts, Dominique P. Frueh, Haribabu Arthanari, Gerhard Wagner

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra, the performance of the procedure is enhanced by a distillation procedure that reduces artifacts stemming from intense peaks.

Original language	English (US)
Pages (from-to)	283-294
Number of pages	12
Journal	Journal of Biomolecular NMR
Volume	45
Issue number	3
DOIs	https://doi.org/10.1007/s10858-009-9368-1
State	Published - 2009
Externally published	Yes

Keywords

Data processing
Non-uniform sampling
Nuclear magnetic resonance
Protein structure
Sparse sampling

ASJC Scopus subject areas

Biochemistry
Spectroscopy

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10.1007/s10858-009-9368-1

Cite this

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abstract = "Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra, the performance of the procedure is enhanced by a distillation procedure that reduces artifacts stemming from intense peaks.",

keywords = "Data processing, Non-uniform sampling, Nuclear magnetic resonance, Protein structure, Sparse sampling",

author = "Hyberts, {Sven G.} and Frueh, {Dominique P.} and Haribabu Arthanari and Gerhard Wagner",

note = "Funding Information: Acknowledgment This research was supported by the National Institutes of Health (grants GM 47467 and EB 002026). We thank Dr. Jeffrey Hoch for fruitful discussion on the topic of this manuscript and Mr. Gregory Heffron for assistance with the spectrometers.",

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T1 - FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation

AU - Hyberts, Sven G.

AU - Frueh, Dominique P.

AU - Arthanari, Haribabu

AU - Wagner, Gerhard

N1 - Funding Information: Acknowledgment This research was supported by the National Institutes of Health (grants GM 47467 and EB 002026). We thank Dr. Jeffrey Hoch for fruitful discussion on the topic of this manuscript and Mr. Gregory Heffron for assistance with the spectrometers.

PY - 2009

Y1 - 2009

N2 - Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra, the performance of the procedure is enhanced by a distillation procedure that reduces artifacts stemming from intense peaks.

AB - Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra, the performance of the procedure is enhanced by a distillation procedure that reduces artifacts stemming from intense peaks.

KW - Data processing

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KW - Nuclear magnetic resonance

KW - Protein structure

KW - Sparse sampling

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FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation

Abstract

Keywords

ASJC Scopus subject areas

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