Evidence map›Paper›PMID 26123316›Full record

ArticleJournal of biomolecular NMR2015

Fast multi-dimensional NMR acquisition and processing using the sparse FFT.

Haitham Hassanieh, Maxim Mayzel, Lixin Shi, Dina Katabi, Vladislav Yu Orekhov

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biomolecular NMR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Design of complicated all-α protein structures.Nature structural & molecular biology · 2024
    Article
  2. Article
  3. XLSY: Extra-Large NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2018
    Article
  4. Article
  5. Absolute Minimal Sampling in High-Dimensional NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haitham HassaniehMassachusetts Institute of Technology, 32 Vassar Street, 32-G936, Cambridge, MA, 02139, USA.
Maxim MayzelSwedish NMR Centre at University of Gothenburg, Box 465, 40530, Gothenburg, Sweden.
Lixin ShiMassachusetts Institute of Technology, 32 Vassar Street, 32-G936, Cambridge, MA, 02139, USA.
Dina KatabiMassachusetts Institute of Technology, 32 Vassar Street, 32-G936, Cambridge, MA, 02139, USA.
Vladislav Yu OrekhovSwedish NMR Centre at University of Gothenburg, Box 465, 40530, Gothenburg, Sweden. vladislav.orekhov@nmr.gu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing the dimensionality of NMR experiments strongly enhances the spectral resolution and provides invaluable direct information about atomic interactions. However, the price tag is high: long measurement times and heavy requirements on the computation power and data storage. We introduce sparse fast Fourier transform as a new method of NMR signal collection and processing, which is capable of reconstructing high quality spectra of large size and dimensionality with short measurement times, faster computations than the fast Fourier transform, and minimal storage for processing and handling of sparse spectra. The new algorithm is described and demonstrated for a 4D BEST-HNCOCA spectrum.

Indexed as

AlgorithmsFourier AnalysisHumansNuclear Magnetic Resonance, BiomolecularTime FactorsUbiquitinUbiquitinCompressed sensingFast NMRNon uniform samplingReduced dimensionality

Identifiers

PMID26123316

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.