Evidence map›Paper›PMID 21426159›Full record

ReviewFuture medicinal chemistry2010

Authentic HIV-1 integrase inhibitors.

Chenzhong Liao, Christophe Marchand, Terrence R Burke, Yves Pommier, Marc C Nicklaus

Abstract readReview
In one paragraph

Review in Future medicinal chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 36 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

5 authors at 4 institutions in 1 country.

Chenzhong LiaoChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Frederick, MD 21702, USA.
Christophe Marchand
Terrence R Burke
Yves Pommier
Marc C Nicklaus
Department of Health and Human Services · USCenter for Cancer Research · USNational Institutes of Health · USUnited States Department of Health and Human Services · US

Funding

Design and Synthesis of HIV Integrase as Potential Anti-AIDS DrugsZIABC007363 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BURKE, TERRENCE · 2009 to 2025
$11.7M
HIV Integrase Modeling and Computer-Aided Inhibitor DevelopmentZIABC010524 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NICKLAUS, MARC · 2009 to 2024
$2.6M
Intramural NIH HHS ZIA BC010524
6 · The paper itself

Abstract

HIV-1 integrase (IN) is indispensable for HIV-1 replication and has become a validated target for developing anti-AIDS agents. In two decades of development of IN inhibition-based anti-HIV therapeutics, a significant number of compounds were identified as IN inhibitors, but only some of them showed antiviral activity. This article reviews a number of patented HIV-1 IN inhibitors, especially those that possess high selectivity for the strand transfer reaction. These compounds generally have a polar coplanar moiety, which is assumed to chelate two magnesium ions in the binding site. Resistance to those compounds, when given to patients, can develop as a result of IN mutations. We refer to those compounds as authentic IN inhibitors. Continued drug development has so far delivered one authentic IN inhibitor to the market (raltegravir in 2007). Current and future attention will be focused on the development of novel authentic IN inhibitors with the goal of overcoming viral resistance.

Indexed as

AnimalsAnti-HIV AgentsDrug DesignHIV-1HIV InfectionsHIV IntegraseHIV Integrase InhibitorsHumansModels, MolecularAnti-HIV AgentsHIV IntegraseHIV Integrase Inhibitorsp31 integrase protein, Human immunodeficiency virus 1

Identifiers

PMID21426159
PMCPMC3413320
OpenAlexW2094621241

What OpenQuestion holds

Textmetadata
LicenceTDM
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.