Evidence map›Paper›PMID 15280222›Full record

ArticleGenetics2004

Mapping sites of positive selection and amino acid diversification in the HIV genome: an alternative approach to vaccine design?

Tulio de Oliveira, Marco Salemi, Michelle Gordon, Anne-Mieke Vandamme, Estrelita Janse van Rensburg, Susan Engelbrecht, Hoosen M Coovadia, Sharon Cassol

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

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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

8 authors at 6 institutions in 3 countries.

Tulio de OliveiraHIV Molecular Virology and Bioinformatics Laboratory, Africa Centre for Health and Population Studies, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4013, South Africa.
Marco Salemi
Michelle Gordon
Anne-Mieke Vandamme
Estrelita Janse van Rensburg
Susan Engelbrecht
Hoosen M Coovadia
Sharon Cassol
University of KwaZulu-Natal · ZAKU Leuven · BERega Institute for Medical Research · BEStellenbosch University · ZATygerberg Hospital · ZAUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A safe and effective HIV-1 vaccine is urgently needed to control the worldwide AIDS epidemic. Traditional methods of vaccine development have been frustratingly slow, and it is becoming increasingly apparent that radical new approaches may be required. Computational and mathematical approaches, combined with evolutionary reasoning, may provide new insights for the design of an efficacious AIDS vaccine. Here, we used codon-based substitution models and maximum-likelihood (ML) methods to identify positively selected sites that are likely to be involved in the immune control of HIV-1. Analysis of subtypes B and C revealed widespread adaptive evolution. Positively selected amino acids were detected in all nine HIV-1 proteins, including Env. Of particular interest was the high level of positive selection within the C-terminal regions of the immediate-early regulatory proteins, Tat and Rev. Many of the amino acid replacements were associated with the emergence of novel (or alternative) myristylation and casein kinase II (CKII) phosphorylation sites. The impact of these changes on the conformation and antigenicity of Tat and Rev remains to be established. In rhesus macaques, a single CTL-associated amino substitution in Tat has been linked to escape from acute SIV infection. Understanding the relationship between host-driven positive selection and antigenic variation may lead to the development of novel vaccine strategies that preempt the escape process.

Indexed as

Chromosome MappingGenetic VariationGenome, ViralPhylogenySelection, GeneticAmino Acid SequenceDatabases, GeneticEpitopesGenes, revGenes, tatHIV-1Likelihood FunctionsModels, GeneticMolecular Sequence DataSequence AlignmentVaccinesEpitopesVaccines

Identifiers

PMID15280222
PMCPMC1470929
OpenAlexW2133196683

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.