Evidence map›Paper›PMID 39044091›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

In Vitro Enzymatic and Cell Culture-Based Assays for Measuring Activity of HBV Ribonuclease H Inhibitors.

Qilan Li, John E Tavis

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Qilan LiDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine and Saint Louis University Liver Center, Saint Louis, MO, USA.
John E TavisDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine and Saint Louis University Liver Center, Saint Louis, MO, USA. john.tavis@health.slu.edu.

Funding

Lead optimization of Hepatitis B Virus ribonuclease H inhibitorsR01AI150610 · NIAID · SAINT LOUIS UNIVERSITY · PI MEYERS, MARVIN J, TAVIS, JOHN E · 2021 to 2025
$3.3M
HBV RNaseH inhibitors: Effects on HBV biology and resistance developmentR01AI148362 · NIAID · SAINT LOUIS UNIVERSITY · PI TAVIS, JOHN E · 2020 to 2024
$1.9M
NIAID NIH HHS R01 AI148362NIAID NIH HHS R01 AI150610
6 · The paper itself

Abstract

HBV is a small, enveloped DNA virus that replicates by reverse transcription of an RNA intermediate. Current anti-HBV treatment regiments employ interferon α or nucleos(t)ide analogs, but they are not curative, are of long duration, and can be accompanied by systemic side-effects. The HBV ribonuclease H (RNaseH) is essential for viral replication; however, it is unexploited as a drug target. RNaseH inhibitors that actively block viral replication would represent an important addition to the potential new drugs for treating HBV infection. Here, we describe two methods to measure the activity of RNaseH inhibitors. The DNA oligonucleotide-directed RNA cleavage assay allows mechanistic analysis of compounds for anti-HBV RNaseH activity. Analysis of preferential inhibition of plus-polarity DNA strand synthesis by HBV RNaseH inhibitors in a cell culture model of HBV replication can be used to measure the ability of RNaseH inhibitors to block viral replication.

Indexed as

Antiviral AgentsHepatitis B virusRibonuclease HVirus ReplicationCell Culture TechniquesEnzyme AssaysEnzyme InhibitorsHumansAntiviral AgentsEnzyme InhibitorsRibonuclease HDNA-oligonucleotide directed RNA cleavage assayHBV core particle DNAHepatitis B virusInhibitorsQuantitative PCRRibonuclease H

Identifiers

PMID39044091
PMCPMC11514518

What OpenQuestion holds

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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.