Evidence map›Paper›PMID 17893362›Full record

ArticleProtein science : a publication of the Protein Society2007

Forbidden penta-peptides.

Tamir Tuller, Benny Chor, Nathan Nelson

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evolutionary selection against short nucleotide sequences in viruses and their related hosts.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Amino acid sequence repertoire of the bacterial proteome and the occurrence of untranslatable sequences.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Review
  15. Predicting nucleosome binding motif set and analyzing their distributions around functional sites of human genes.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2012
    Article
  16. Article
  17. 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.

Tamir TullerSchool of Computer Science, Tel Aviv University, Tel Aviv, Israel. tamirtul@post.tau.ac.il
Benny Chor
Nathan Nelson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are 3,200,000 amino acid sequences of length 5 (penta-peptides). Statistically, we expect to see a distribution of penta-peptides that is determined by the frequency of the participating amino acids. We show, however, that not only are there thousands of such penta-peptides that are absent from all known proteomes, but many of them are coded for multiple times in the non-coding genomic regions. This suggests a strong selection process that prevents these peptides from being expressed. We also show that the characteristics of these forbidden penta-peptides vary among different phylogenetic groups (e.g., eukaryotes, prokaryotes, and archaea). Our analysis provides the first steps toward understanding the "grammar" of the forbidden penta-peptides.

Indexed as

AnimalsArchaeaBacteriaDNA, IntergenicOligopeptidesPhylogenyProteomicsSequence Analysis, ProteinDNA, IntergenicOligopeptides

Identifiers

PMID17893362
PMCPMC2204130

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.