Evidence map›Paper›PMID 16505959›Full record

ArticleJournal of biomolecular NMR2006

Automated protein NMR structure determination in crude cell-extract.

Touraj Etezady-Esfarjani, Torsten Herrmann, Reto Horst, Kurt Wüthrich

Abstract read
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In one paragraph

Article in Journal of biomolecular NMR, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Touraj Etezady-EsfarjaniDepartment of Molecular Biology and Joint Center for Structural Genomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California, 92037, USA. touraj@mol.biol.ethz.ch
Torsten Herrmann
Reto Horst
Kurt Wüthrich

Funding

JOINT CENTER FOR STRUCTURAL GENOMICSP50GM062411 · NIGMS · SCRIPPS RESEARCH INSTITUTE · PI WILSON, IAN A · 2000 to 2004
$32.9M
NIGMS NIH HHS P50GM62411NIGMS NIH HHS U54GM07498
6 · The paper itself

Abstract

A fully automated, NOE-based NMR structure determination of a uniformly 13C,15N-labeled protein was achieved in crude cell-extract, without purification of the overexpressed protein. Essentially complete sequence-specific assignments were obtained using triple resonance experiments, based on the high intensity of the resonances from the overexpressed protein relative to those of the background. For the collection of NOE distance constraints, efficient discrimination between NOE cross peaks from the target protein and background signals was achieved using the programs ATNOS and CANDID. In the iterative ATNOS/CANDID procedure, the identification of the desired protein NOEs is initially guided by the self-consistency of the protein NOE-network. Although the intensities of the signals in this network vary over a wide range, and are in many instances comparable to or smaller than those of the background, the first cycle of calculations resulted in the correct global polypeptide fold, and the structure was then refined in six subsequent cycles using the intermediate NMR structures for additional guidance. The experience gained with this work demonstrates that the ATNOS/CANDID procedure for automatic protein structure determination is highly robust and reliable in the presence of intense background signals, and might thus also represent a platform for future protein structure determinations in physiological fluids.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProtein ConformationAlgorithmsBacterial ProteinsCell ExtractsRecombinant ProteinsThermotoga maritimaBacterial ProteinsCell ExtractsRecombinant Proteins

Identifiers

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.