Evidence map›Paper›PMID 17987374›Full record

ArticleVirus genes2008

Circuit assemblages derived from net dinucleotide values provide a succinct identity for the HIV-1 genome and each of its genes.

Dorothy M Lang

Abstract read
PubMed Publisher
In one paragraph

Article in Virus genes, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Dorothy M LangSchool of Contemporary Sciences, University of Abertay-Dundee, Bell Street, Dundee DD1 1HG, Scotland, UK. dml_mail@yahoo.com
Abertay University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dinucleotide composition has been recognized as a species-specific characteristic of organisms for more than 20 years. Lang (2000, Bioinformatics, 16, 212-221), found that in Monilinia rRNA a species-specific identity is conserved when dinucleotide counts are compressed into net dinucleotide counts (e.g., 50AC + 20CA = 30nAC) and clusters of net dinucleotides of equal value (e.g., 30nAC + 30nCT + 30nTA = 30ACTA) which were called circuits. This study evaluates circuit assemblages (CAs)--the collection of all net dinucleotide circuits derived from a sequence--in a diverse set of 110 HIV-1 genomes. The circuit composition, which is often based on <or= 15% of the total dinucleotides of a sequence, uniquely characterizes each gene and genome, although the pairwise similarity of the sequences is as low as 70%. Variations in net dinucleotide distributions are associated with structural and functional features of the genome and its proteins. Circuit values of the env signal sequence are different between subtypes that have remained localized and those that have become pandemic. CAs of complete genomes of HIV-1 are similar to other retro-transcribing viruses, and distinct from viroids and single- and double-stranded DNA and RNA viruses. CAs provide a succinct, quantitative, and species-specific description of DNA composition that is consistent with the results of traditional analytic methods at multiple levels of genome organization.

Indexed as

Genes, ViralGenome, ViralAnimalsBase SequenceDinucleoside PhosphatesDNA, ViralGenes, envGenes, gagHIV-1HormonesHumansMolecular Sequence DataPlantsReceptors, Cell SurfaceRNA, ViralSequence AlignmentDinucleoside PhosphatesDNA, ViralHormonesReceptors, Cell SurfaceRNA, Viral

Identifiers

PMID17987374
OpenAlexW1991757681

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.