Evidence map›Paper›PMID 30560871›Full record

ArticleScientific reports2018

Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics.

Olivier Sheik Amamuddy, Nigel T Bishop, Özlem Tastan Bishop

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Revealing SARS-CoV-2 MComputational and structural biotechnology journal · 2024
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  10. MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics.Computational and structural biotechnology journal · 2021
    Article
  11. Article
  12. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
    Review
  13. Article
  14. Article
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

3 authors at 1 institution in 1 country.

Olivier Sheik AmamuddyResearch Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, 6140, South Africa.
Nigel T BishopDepartment of Mathematics (Pure & Applied), Rhodes University, Grahamstown, 6140, South Africa.
Özlem Tastan BishopResearch Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, 6140, South Africa. o.tastanbishop@ru.ac.za.ORCID http://orcid.org/0000-0001-6861-7849
Rhodes University · ZA

Funding

National Research Foundation (NRF) 93690
6 · The paper itself

Abstract

The use of antiretrovirals (ARVs) has drastically improved the life quality and expectancy of HIV patients since their introduction in health care. Several millions are still afflicted worldwide by HIV and ARV resistance is a constant concern for both healthcare practitioners and patients, as while treatment options are finite, the virus constantly adapts via complex mutation patterns to select for resistant strains under the pressure of drug treatment. The HIV protease is a crucial enzyme for viral maturation and has been a game changing drug target since the first application. Due to similarities in protease inhibitor designs, drug cross-resistance is not uncommon across ARVs of the same class. It is known that resistance against protease inhibitors is associated with a wider active site, but results from our large scale molecular dynamics simulations combined with statistical tests and network analysis further show, for the first time, that there are regions of local expansions and compactions associated with high levels of resistance conserved across eight different protease inhibitors visible in their complexed form within closed receptor conformations. The observed conserved expansion sites may provide an alternative drug-targeting site. Further, the method developed here is novel, supplementary to methods of variation analysis at sequence level, and should be applicable in analysing the structural consequences of mutations in other contexts using molecular ensembles.

Indexed as

Drug Resistance, ViralMolecular Docking SimulationMolecular Dynamics SimulationBinding SitesDrug DesignHIV ProteaseHIV Protease InhibitorsHumansMolecular ConformationMutationProtein BindingStructure-Activity RelationshipWorkflowHIV ProteaseHIV Protease Inhibitors

Identifiers

PMID30560871
PMCPMC6298995
OpenAlexW2904616839

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.