Evidence map›Paper›PMID 9539414›Full record

ArticleGenetics1998

Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

R Nielsen, Z Yang

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 805 papers.

0numbers the graph read from it
0cells of the map it votes in
805citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

805 citing papers in PubMed, 1,655 citations in OpenAlex.

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  20. Leveraging FracMinHash Containment for GenomicbioRxiv : the preprint server for biology · 2025
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745 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

R NielsenDepartment of Integrative Biology, University of California, Berkeley 94720-3140, USA. rasmus@mws4.biol.berkeley.edu
Z Yang
University College London · GBUniversity of California, Berkeley · US

Funding

MODELS OF COMPLEX GENETIC SYSTEMSR01GM040282 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SLATKIN, MONTGOMERY WILSON · 1988 to 2017
$4.4M
NIGMS NIH HHS GM40282
6 · The paper itself

Abstract

Several codon-based models for the evolution of protein-coding DNA sequences are developed that account for varying selection intensity among amino acid sites. The "neutral model" assumes two categories of sites at which amino acid replacements are either neutral or deleterious. The "positive-selection model" assumes an additional category of positively selected sites at which nonsynonymous substitutions occur at a higher rate than synonymous ones. This model is also used to identify target sites for positive selection. The models are applied to a data set of the V3 region of the HIV-1 envelope gene, sequenced at different years after the infection of one patient. The results provide strong support for variable selection intensity among amino acid sites The neutral model is rejected in favor of the positive-selection model, indicating the operation of positive selection in the region. Positively selected sites are found in both the V3 region and the flanking regions.

Indexed as

Evolution, MolecularModels, GeneticModels, StatisticalSelection, GeneticAmino AcidsBinding SitesCodonElectron Transport Complex IVHIV-1HIV Envelope Protein gp120HumansLikelihood FunctionsMutagenesis, Site-DirectedPeptide FragmentsAmino AcidsCodonElectron Transport Complex IVHIV Envelope Protein gp120HIV envelope protein gp120 (305-321)Peptide Fragments

Identifiers

PMID9539414
PMCPMC1460041
OpenAlexW2133585817

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.