Evidence map›Paper›PMID 24706836›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.

Harold A Scheraga, S Rackovsky

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The structure of protein dynamic space.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Sequence-, structure-, and dynamics-based comparisons of structurally homologous CheY-like proteins.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  11. Global informatics and physical property selection in protein sequences.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. My 65 years in protein chemistry.Quarterly reviews of biophysics · 2015
    Review
  14. Alternative approach to protein structure prediction based on sequential similarity of physical properties.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  15. 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

2 authors.

Harold A ScheragaDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853.
S Rackovsky

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS GM-14312NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

We show that a Fourier-based sequence distance function is able to identify structural homologs of target sequences with high accuracy. It is shown that Fourier distances correlate very strongly with independently determined structural distances between molecules, a property of the method that is not attainable using conventional representations. It is further shown that the ability of the Fourier approach to identify protein folds is statistically far in excess of random expectation. It is then shown that, in actual searches for structural homologs of selected target sequences, the Fourier approach gives excellent results. On the basis of these results, we suggest that the global information detected by the Fourier representation is an essential feature of structure encoding in protein sequences and a key to structural homology detection.

Indexed as

Protein ConformationProtein FoldingProteinsProteinsFourier analysissequence homology

Identifiers

PMID24706836
PMCPMC3986189

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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.