Evidence map›Paper›PMID 29158504›Full record

ArticleScientific reports2017

Computational design of fully overlapping coding schemes for protein pairs and triplets.

Vaitea Opuu, Martin Silvert, Thomas Simonson

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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.

Vaitea OpuuLaboratoire de Biochimie (CNRS UMR7654), Ecole Polytechnique, Palaiseau, France.
Martin SilvertLaboratoire de Biochimie (CNRS UMR7654), Ecole Polytechnique, Palaiseau, France.
Thomas SimonsonLaboratoire de Biochimie (CNRS UMR7654), Ecole Polytechnique, Palaiseau, France. thomas.simonson@polytechnique.fr.ORCID 0000-0002-5117-7338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene pairs that overlap in their coding regions are rare except in viruses. They may occur transiently in gene creation and are of biotechnological interest. We have examined the possibility to encode an arbitrary pair of protein domains as a dual gene, with the shorter coding sequence completely embedded in the longer one. For 500 × 500 domain pairs (X, Y), we computationally designed homologous pairs (X', Y') coded this way, using an algorithm that provably maximizes the sequence similarity between (X', Y') and (X, Y). Three schemes were considered, with X' and Y' coded on the same or complementary strands. For 16% of the pairs, an overlapping coding exists where the level of homology of X', Y' to the natural proteins represents an E-value of 10

Indexed as

Computational BiologyAmino Acid SequenceBase SequenceCloning, MolecularGenomeOpen Reading FramesProtein DomainsProteinsProteins

Identifiers

PMID29158504
PMCPMC5696523

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.