Evidence map›Paper›PMID 12878842›Full record

ArticleJournal of biomolecular NMR2003

Fully automated sequence-specific resonance assignments of hetero- nuclear protein spectra.

Daniel Malmodin, Christina H M Papavoine, Martin Billeter

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biomolecular NMR, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

16 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Structure-oriented methods for protein NMR data analysis.Progress in nuclear magnetic resonance spectroscopy · 2010
    Review
  8. A practical implementation of cross-spectrum in protein backbone resonance assignment.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2010
    Article
  9. Article
  10. Article
  11. Automated structure determination from NMR spectra.European biophysics journal : EBJ · 2009
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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 at 2 institutions in 2 countries.

Daniel MalmodinBiochemistry and Biophysics, Göteborg University, Box 462, 405 30 Göteborg, Sweden.
Christina H M Papavoine
Martin Billeter
University of Gothenburg · SEAstraZeneca (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full automation of the analysis of spectra is a prerequisite for high-throughput NMR studies in structural or functional genomics. Sequence-specific assignments often form the major bottleneck. Here, we present a procedure that yields nearly complete backbone and side chain resonance assignments starting from a set of heteronuclear three-dimensional spectra. Neither manual intervention, e.g., to correct lists obtained from peak picking before feeding these to an assignment program, nor protein-specific information, e.g., structures of homologous proteins, were required. By combining two earlier published procedures, AUTOPSY [Koradi et al. (1998) J. Magn. Reson., 135, 288-297] and GARANT [Bartels et al. (1996) J. Biomol. NMR, 7, 207-213], with a new program, PICS, all necessary steps from spectra analyses to sequence-specific assignments were performed fully automatically. Characteristic features of the present approach are a flexible design allowing as input almost any combination of NMR spectra, applicability to side chains, robustness with respect to parameter choices (such as noise levels) and reproducibility. In this study, automated resonance assignments were obtained for the 14 kD blue copper protein azurin from P. aeruginosa using five spectra: HNCACB, HNHA, HCCH-TOCSY, 15N-NOESY-HSQC and 13C-NOESY-HSQC. Peaks from these three-dimensional spectra were filtered and calibrated with the help of two two-dimensional spectra: 15N-HSQC and 13C-HSQC. The rate of incorrect assignments is less than 1.5% for backbone nuclei and about 3.5% when side chain protons are also considered.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProtein ConformationAzurinBacterial ProteinsModels, MolecularSoftwareAzurinBacterial Proteins

Identifiers

PMID12878842
OpenAlexW1505608864

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.