Evidence map›Paper›PMID 21787300›Full record

ReviewCurrent protein & peptide science2011

Small open reading frames: current prediction techniques and future prospect.

Haoyu Cheng, Wai Soon Chan, Zhixiu Li, Dan Wang, Song Liu, Yaoqi Zhou

Open access · bronzeAbstract readReview
In one paragraph

Review in Current protein & peptide science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

28 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. LncRNA-encoded peptides in cancer.Journal of hematology & oncology · 2024
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. The cardiac translational landscape reveals that micropeptides are new players involved in cardiomyocyte hypertrophy.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Article
  13. Article
  14. The how and why of lncRNA function: An innate immune perspective.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
  15. Article
  16. Review
  17. Article
  18. Review
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  20. Review
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

6 authors at 3 institutions in 1 country.

Haoyu ChengIndiana University School of Informatics, Indiana University-Purdue University and Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Wai Soon Chan
Zhixiu Li
Dan Wang
Song Liu
Yaoqi Zhou
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineRoswell Park Comprehensive Cancer Center · US

Funding

Statistical Energy Functions: a Fragment-based ApproachR01GM085003 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ZHOU, YAOQI · 2008 to 2011
$1.1M
Development &Applications of Knowledge-based PotentialsR01GM068530 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ZHOU, YAOQI · 2003 to 2006
$928k
NIGMS NIH HHS R01 GM068530NIGMS NIH HHS R01GM068530NIGMS NIH HHS R01 GM085003
6 · The paper itself

Abstract

Evidence is accumulating that small open reading frames (sORF, <100 codons) play key roles in many important biological processes. Yet, they are generally ignored in gene annotation despite they are far more abundant than the genes with more than 100 codons. Here, we demonstrate that popular homolog search and codon-index techniques perform poorly for small genes relative to that for larger genes, while a method dedicated to sORF discovery has a similar level of accuracy as homology search. The result is largely due to the small dataset of experimentally verified sORF available for homology search and for training ab initio techniques. It highlights the urgent need for both experimental and computational studies in order to further advance the accuracy of sORF prediction.

Indexed as

CodonComputational BiologyDatabases, ProteinForecastingMolecular Sequence AnnotationOpen Reading FramesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCodonSaccharomyces cerevisiae Proteins

Identifiers

PMID21787300
PMCPMC3203329
OpenAlexW2159998518

What OpenQuestion holds

Textmetadata
LicenceTDM
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.