Evidence map›Paper›PMID 12398348›Full record

ArticleJournal of biomolecular NMR2002

Automated assignment of NOESY NMR spectra using a knowledge based method (KNOWNOE).

Wolfram Gronwald, Sherif Moussa, Ralph Elsner, Astrid Jung, Bernhard Ganslmeier, Jochen Trenner, Werner Kremer, Klaus-Peter Neidig, Hans Robert Kalbitzer

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Article in Journal of biomolecular NMR, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
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  12. Automated structure determination from NMR spectra.European biophysics journal : EBJ · 2009
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. High-temperature solution NMR structure of TmCsp.Protein science : a publication of the Protein Society · 2004
    Article
  19. Article
  20. Automated protein fold determination using a minimal NMR constraint strategy.Protein science : a publication of the Protein Society · 2003
    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

9 authors.

Wolfram GronwaldDepartment of Biophysics and Physical Biochemistry, University of Regensburg, Federal Republic of Germany.
Sherif Moussa
Ralph Elsner
Astrid Jung
Bernhard Ganslmeier
Jochen Trenner
Werner Kremer
Klaus-Peter Neidig
Hans Robert Kalbitzer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated assignment of NOESY spectra is a prerequisite for automated structure determination of biological macromolecules. With the program KNOWNOE we present a novel, knowledge based approach to this problem. KNOWNOE is devised to work directly with the experimental spectra without interference of an expert. Besides making use of routines already implemented in AUREMOL, it contains as a central part a knowledge driven Bayesian algorithm for solving ambiguities in the NOE assignments. These ambiguities mainly arise from chemical shift degeneration which allows multiple assignments of cross peaks. Using a set of 326 protein NMR structures, statistical tables in the form of atom-pairwise volume probability distributions (VPDs) were derived. VPDs for all assignment possibilities relevant to the assignments of interproton NOEs were calculated. With these data for a given cross peak with N possible assignments Ai (i = 1,...,N) the conditional probabilities P(Ai, a/V0) can be calculated that the assignment Ai determines essentially all (a-times) of the cross peak volume V0. An assignment Ak with a probability P(Ak, a/V0) higher than 0.8 is transiently considered as unambiguously assigned. With a list of unambiguously assigned peaks a set of structures is calculated. These structures are used as input for a next cycle of iteration where a distance threshold Dmax is dynamically reduced. The program KNOWNOE was tested on NOESY spectra of a medium size protein, the cold shock protein (TmCsp) from Thermotoga maritima. The results show that a high quality structure of this protein can be obtained by automated assignment of NOESY spectra which is at least as good as the structure obtained from manual data evaluation.

Indexed as

Artificial IntelligenceAlgorithmsAmino Acid SequenceBacterial ProteinsDatabases, ProteinNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsSoftwareBacterial ProteinsProteins

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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.