Evidence map›Paper›PMID 21088701›Full record

ArticleViruses2010

The "Connection" Between HIV Drug Resistance and RNase H.

Krista A Delviks-Frankenberry, Galina N Nikolenko, Vinay K Pathak

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 42 citations in OpenAlex.

  1. Frequent emergence of N348I in HIV-1 subtype C reverse transcriptase with failure of initial therapy reduces susceptibility to reverse-transcriptase inhibitors.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
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  5. Global hinge sites of proteins as target sites for drug binding.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

3 authors at 2 institutions in 1 country.

Krista A Delviks-FrankenberryViral Mutation Section, HIV Drug Resistance Program, National Cancer Institute at Frederick, Frederick, Maryland 21702, USA.
Galina N Nikolenko
Vinay K Pathak
National Cancer Institute · USFrederick National Laboratory for Cancer Research · US

Funding

Role of Connection and RNase H Domains of HIV-1 RT in Antiviral Drug ResistanceZ01BC010532 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PATHAK, VINAY K. · 2003 to 2008
$1.1M
Role of Connection and RNase H Domains of HIV-1 RT in Antiviral Drug ResistanceZIABC010532 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PATHAK, VINAY K. · 2009 to 2011
$640k
Intramural NIH HHS Z01 BC010532Intramural NIH HHS ZIA BC010532
6 · The paper itself

Abstract

Currently, nucleoside reverse transcriptase inhibitors (NRTIs) and nonnucleoside reverse transcriptase inhibitors (NNRTIs) are two classes of antiretroviral agents that are approved for treatment of HIV-1 infection. Since both NRTIs and NNRTIs target the polymerase (pol) domain of reverse transcriptase (RT), most genotypic analysis for drug resistance is limited to the first ~300 amino acids of RT. However, recent studies have demonstrated that mutations in the C-terminal domain of RT, specifically the connection subdomain and RNase H domain, can also increase resistance to both NRTIs and NNRTIs. In this review we will present the potential mechanisms by which mutations in the C-terminal domain of RT influence NRTI and NNRTI susceptibility, summarize the prevalence of the mutations in these regions of RT identified to date, and discuss their importance to clinical drug resistance.

Identifiers

PMID21088701
PMCPMC2982141
OpenAlexW2053201375

What OpenQuestion holds

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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.