Evidence map›Paper›PMID 28852572›Full record

ArticleVirus evolution2017

Adaptive HIV-1 evolutionary trajectories are constrained by protein stability.

Abayomi S Olabode, Shaun M Kandathil, Simon C Lovell, David L Robertson

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 11 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

4 authors at 2 institutions in 1 country.

Abayomi S OlabodeEvolution & Genomic Sciences, School of Biological Sciences, University of Manchester, Oxford Road, Manchester, UK.
Shaun M KandathilEvolution & Genomic Sciences, School of Biological Sciences, University of Manchester, Oxford Road, Manchester, UK.
Simon C LovellEvolution & Genomic Sciences, School of Biological Sciences, University of Manchester, Oxford Road, Manchester, UK.
David L RobertsonEvolution & Genomic Sciences, School of Biological Sciences, University of Manchester, Oxford Road, Manchester, UK.
University of Manchester · GBMRC University of Glasgow Centre for Virus Research · GB

Funding

Medical Research Council MC_UU_12014/12
6 · The paper itself

Abstract

Despite the use of combination antiretroviral drugs for the treatment of HIV-1 infection, the emergence of drug resistance remains a problem. Resistance may be conferred either by a single mutation or a concerted set of mutations. The involvement of multiple mutations can arise due to interactions between sites in the amino acid sequence as a consequence of the need to maintain protein structure. To better understand the nature of such epistatic interactions, we reconstructed the ancestral sequences of HIV-1's Pol protein, and traced the evolutionary trajectories leading to mutations associated with drug resistance. Using contemporary and ancestral sequences we modelled the effects of mutations (i.e. amino acid replacements) on protein structure to understand the functional effects of residue changes. Although the majority of resistance-associated sequences tend to destabilise the protein structure, we find there is a general tendency for protein stability to decrease across HIV-1's evolutionary history. That a similar pattern is observed in the non-drug resistance lineages indicates that non-resistant mutations, for example, associated with escape from the immune response, also impacts on protein stability. Maintenance of optimal protein structure therefore represents a major constraining factor to the evolution of HIV-1.

Indexed as

drug resistanceevolutionHIV-1protein stabilityprotein structure

Identifiers

PMID28852572
PMCPMC5570062
OpenAlexW2742026730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.