Evidence map›Paper›PMID 28104450›Full record

ReviewVirus research2017

Polymerases of paramyxoviruses and pneumoviruses.

Rachel Fearns, Richard K Plemper

Abstract readReview
In one paragraph

Review in Virus research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 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

2 authors at 2 institutions in 1 country.

Rachel FearnsDepartment of Microbiology, Boston University School of Medicine, Boston, MA 02118, United States. Electronic address: rfearns@bu.edu.
Richard K PlemperInstitute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, United States.
Boston University · USGeorgia State University · US

Funding

Identification and Pre-Clinical Evaluation of Measles Virus InhibitorsR01AI071002 · NIAID · GEORGIA STATE UNIVERSITY · PI PLEMPER, RICHARD K. · 2006 to 2022
$6.6M
Novel Therapeutics against Respiratory Syncytial Virus InfectionR01HD079327 · NICHD · GEORGIA STATE UNIVERSITY · PI PLEMPER, RICHARD K. · 2014 to 2018
$2.8M
Initiation and regulation of RSV mRNA transcription and genome replicationR01AI113321 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FEARNS, RACHEL · 2014 to 2017
$1.7M
NIAID NIH HHS R01 AI071002NIAID NIH HHS R01 AI113321NICHD NIH HHS R01 HD079327
6 · The paper itself

Abstract

The paramyxo- and pneumoviruses are members of the order Mononegavirales, a group of viruses with non-segmented, negative strand RNA genomes. The polymerases of these viruses are multi-functional complexes, capable of transcribing subgenomic capped and polyadenylated mRNAs and replicating the genome. Although there is no native structure available for any complete paramyxo- or pneumovirus polymerase, functional and structural studies of a fragment of a pneumovirus polymerase protein and mutation analyses and resistance profiling of small-molecule inhibitors have generated a wealth of mechanistic information. This review integrates these data with the structure of a related polymerase, identifying similarities, differences, gaps in knowledge, and avenues for antiviral drug development.

Indexed as

DNA Mutational AnalysisDrug Resistance, ViralMutation, MissenseParamyxoviridaePneumovirusRNA-Dependent RNA PolymeraseTranscription, GeneticVirus ReplicationRNA-Dependent RNA PolymeraseCappingInhibitorMononegaviralesParamyxovirusPneumovirusPolymerase

Identifiers

PMID28104450
PMCPMC5476513
OpenAlexW2577647496

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.