Evidence map›Paper›PMID 24498124›Full record

ArticlePloS one2014

New insights into the in silico prediction of HIV protease resistance to nelfinavir.

Dinler A Antunes, Maurício M Rigo, Marialva Sinigaglia, Rúbia M de Medeiros, Dennis M Junqueira, Sabrina E M Almeida, Gustavo F Vieira

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 27 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

7 authors at 2 institutions in 1 country.

Dinler A AntunesNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Departamento de Genética, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Maurício M RigoNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Departamento de Genética, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Marialva SinigagliaNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Departamento de Genética, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Rúbia M de MedeirosTechnological and Scientific Development Center (CDCT), State Foundation in Production and Health Research (FEPPS), Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Dennis M JunqueiraTechnological and Scientific Development Center (CDCT), State Foundation in Production and Health Research (FEPPS), Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Sabrina E M AlmeidaTechnological and Scientific Development Center (CDCT), State Foundation in Production and Health Research (FEPPS), Porto Alegre, Rio Grande do Sul, Brazil.
Gustavo F VieiraNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Departamento de Genética, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil ; Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Universidade Federal do Rio Grande do Sul · BRFundação Estadual de Produção e Pesquisa em Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Human Immunodeficiency Virus type 1 protease enzyme (HIV-1 PR) is one of the most important targets of antiretroviral therapy used in the treatment of AIDS patients. The success of protease-inhibitors (PIs), however, is often limited by the emergence of protease mutations that can confer resistance to a specific drug, or even to multiple PIs. In the present study, we used bioinformatics tools to evaluate the impact of the unusual mutations D30V and V32E over the dynamics of the PR-Nelfinavir complex, considering that codons involved in these mutations were previously related to major drug resistance to Nelfinavir. Both studied mutations presented structural features that indicate resistance to Nelfinavir, each one with a different impact over the interaction with the drug. The D30V mutation triggered a subtle change in the PR structure, which was also observed for the well-known Nelfinavir resistance mutation D30N, while the V32E exchange presented a much more dramatic impact over the PR flap dynamics. Moreover, our in silico approach was also able to describe different binding modes of the drug when bound to different proteases, identifying specific features of HIV-1 subtype B and subtype C proteases.

Indexed as

Drug Resistance, ViralHIV-1HIV ProteaseMutation, MissenseAcquired Immunodeficiency SyndromeAmino Acid SubstitutionHIV Protease InhibitorsHumansNelfinavirHIV ProteaseHIV Protease InhibitorsNelfinavir

Identifiers

PMID24498124
PMCPMC3909182
OpenAlexW2084509457

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.