Evidence map›Paper›PMID 18692422›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2008

Estimation of relative order tensors, and reconstruction of vectors in space using unassigned RDC data and its application.

Xijiang Miao, Rishi Mukhopadhyay, Homayoun Valafar

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Efficient and accurate estimation of relative order tensors from lambda-maps.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2009
    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

3 authors.

Xijiang MiaoComputer Science and Engineering, Swearingen Engineering Center, University of South Carolina, Columbia, SC 29308, USA.
Rishi Mukhopadhyay
Homayoun Valafar

Funding

Structure and Dynamics of Membrane Proteins from NMR Orientational ConstraintsR01GM081793 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI VALAFAR, HOMAYOUN · 2007 to 2010
$915k
NIGMS NIH HHS 1R01GM081793NIGMS NIH HHS R01 GM081793
6 · The paper itself

Abstract

Advances in NMR instrumentation and pulse sequence design have resulted in easier acquisition of Residual Dipolar Coupling (RDC) data. However, computational and theoretical analysis of this type of data has continued to challenge the international community of investigators because of their complexity and rich information content. Contemporary use of RDC data has required a-priori assignment, which significantly increases the overall cost of structural analysis. This article introduces a novel algorithm that utilizes unassigned RDC data acquired from multiple alignment media (nD-RDC, n3) for simultaneous extraction of the relative order tensor matrices and reconstruction of the interacting vectors in space. Estimation of the relative order tensors and reconstruction of the interacting vectors can be invaluable in a number of endeavors. An example application has been presented where the reconstructed vectors have been used to quantify the fitness of a template protein structure to the unknown protein structure. This work has other important direct applications such as verification of the novelty of an unknown protein and validation of the accuracy of an available protein structure model in drug design. More importantly, the presented work has the potential to bridge the gap between experimental and computational methods of structure determination.

Indexed as

AlgorithmsModels, ChemicalComputer SimulationMagnetic Resonance Spectroscopy

Identifiers

PMID18692422
PMCPMC2669903

What OpenQuestion holds

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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.