Evidence map›Paper›PMID 18512031›Full record

ArticleJournal of biomolecular NMR2008

Automated sequence-specific protein NMR assignment using the memetic algorithm MATCH.

Jochen Volk, Torsten Herrmann, Kurt Wüthrich

Abstract readEvaluation Study
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In one paragraph

Article in Journal of biomolecular NMR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Modernizing biomolecular NMR: The POKY suite.The Journal of biological chemistry · 2026
    Review
  2. Article
  3. NMR Assignment through Linear Programming.Journal of global optimization : an international journal dealing with theoretical and computational aspects of seeking global optima and their applications in science, management and engineering · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Network representation of protein interactions: Theory of graph description and analysis.Protein science : a publication of the Protein Society · 2016
    Article
  13. Structure of fully protonated proteins by proton-detected magic-angle spinning NMR.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Article
  15. The acidic domain is a unique structural feature of the splicing factor SYNCRIP.Protein science : a publication of the Protein Society · 2016
    Article
  16. Article
  17. UHM-ULM interactions in the RBM39-U2AF65 splicing-factor complex.Acta crystallographica. Section D, Structural biology · 2016
    Article
  18. Article
  19. Structure and Mechanism of the Influenza A M218-60 Dimer of Dimers.Journal of the American Chemical Society · 2015
    Article
  20. Cofactor-induced reversible folding of Flavodoxin-4 from Lactobacillus acidophilus.Protein science : a publication of the Protein Society · 2015
    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.

Jochen VolkInstitut für Molekularbiologie und Biophysik, ETH Zürich, Zurich, Switzerland.
Torsten Herrmann
Kurt Wüthrich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MATCH (Memetic Algorithm and Combinatorial Optimization Heuristics) is a new memetic algorithm for automated sequence-specific polypeptide backbone NMR assignment of proteins. MATCH employs local optimization for tracing partial sequence-specific assignments within a global, population-based search environment, where the simultaneous application of local and global optimization heuristics guarantees high efficiency and robustness. MATCH thus makes combined use of the two predominant concepts in use for automated NMR assignment of proteins. Dynamic transition and inherent mutation are new techniques that enable automatic adaptation to variable quality of the experimental input data. The concept of dynamic transition is incorporated in all major building blocks of the algorithm, where it enables switching between local and global optimization heuristics at any time during the assignment process. Inherent mutation restricts the intrinsically required randomness of the evolutionary algorithm to those regions of the conformation space that are compatible with the experimental input data. Using intact and artificially deteriorated APSY-NMR input data of proteins, MATCH performed sequence-specific resonance assignment with high efficiency and robustness.

Indexed as

AlgorithmsAmino Acid SequenceDatabases, ProteinMathematicsMolecular Sequence DataNuclear Magnetic Resonance, BiomolecularProtein ConformationSequence Analysis, ProteinSoftware

Identifiers

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.