Evidence map›Paper›PMID 15371551›Full record

ArticleNucleic acids research2004

Predicting genes expressed via -1 and +1 frameshifts.

Sanghoon Moon, Yanga Byun, Hong-Jin Kim, Sunjoo Jeong, Kyungsook Han

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Human DNA tumor viruses generate alternative reading frame proteins through repeat sequence recoding.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Control of gene expression by translational recoding.Advances in protein chemistry and structural biology · 2012
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Sanghoon MoonSchool of Computer Science and Engineering, Inha University, Inchon 402-751, Korea.
Yanga Byun
Hong-Jin Kim
Sunjoo Jeong
Kyungsook Han

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational identification of ribosomal frameshift sites in genomic sequences is difficult due to their diverse nature, yet it provides useful information for understanding the underlying mechanisms and discovering new genes. We have developed an algorithm that searches entire genomic or mRNA sequences for frameshifting sites, and implements the algorithm as a web-based program called FSFinder (Frameshift Signal Finder). The current version of FSFinder is capable of finding -1 frameshift sites on heptamer sequences X XXY YYZ, and +1 frameshift sites for two genes: protein chain release factor B (prfB) and ornithine decarboxylase antizyme (oaz). We tested FSFinder on approximately 190 genomic and partial DNA sequences from a number of organisms and found that it predicted frameshift sites efficiently and with greater sensitivity and specificity than existing approaches. It has improved sensitivity because it considers many known components of a frameshifting cassette and searches these components on both + and - strands, and its specificity is increased because it focuses on overlapping regions of open reading frames and prioritizes candidate frameshift sites. FSFinder is useful for discovering unknown genes that utilize alternative decoding, as well as for analyzing frameshift sites. It is freely accessible at http://wilab.inha.ac.kr/FSFinder/.

Indexed as

Frameshifting, RibosomalSoftwareAlgorithmsComputational BiologyGenome, BacterialInternetOpen Reading FramesPeptide Termination FactorsProteinsRNA, Messengerornithine decarboxylase antizymepeptide chain termination release factor 2Peptide Termination FactorsProteinsRNA, Messenger

Identifiers

PMID15371551
PMCPMC519117

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.