Evidence map›Paper›PMID 34291895›Full record

ArticleACS nano2021

Inhibition of Measles Viral Fusion Is Enhanced by Targeting Multiple Domains of the Fusion Protein.

Francesca T Bovier, Ksenia Rybkina, Sudipta Biswas, Olivia Harder, Tara C Marcink, Stefan Niewiesk, Anne Moscona, Christopher A Alabi, Matteo Porotto

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Clinical features, pathogenesis, pathology, neuroimaging, clinical course and outcome of measles inclusion-body encephalitis: a systematic review of published case reports and case series.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
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  20. Computational methods to study enveloped viral entry.Biochemical Society transactions · 2021
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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

9 authors at 4 institutions in 2 countries.

Francesca T BovierCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.ORCID 0000-0003-3446-9619
Ksenia RybkinaCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.
Sudipta BiswasCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.
Olivia HarderDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio 43210, United States.
Tara C MarcinkCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.
Stefan NiewieskDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio 43210, United States.
Anne MosconaCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.
Christopher A AlabiRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0003-2654-018X
Matteo PorottoCenter for Host-Pathogen Interaction, Columbia University Vagelos College of Physicians and Surgeons, New York, New York 10032, United States.ORCID 0000-0003-3866-9220
Columbia University · USCornell University · USThe Ohio State University · USUniversity of Campania "Luigi Vanvitelli" · IT

Funding

Development of novel endosome-targeted Ebola virus entry inhibitors as antiviral agentsR01AI121349 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI POROTTO, MATTEO · 2016 to 2020
$3.2M
Self-assembling nanoparticles for intranasal delivery of influenza fusion inhibitorsR01AI119762 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI POROTTO, MATTEO · 2016 to 2019
$2.5M
Mechanisms of measles virus CNS adaptationR01NS091263 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI POROTTO, MATTEO · 2015 to 2019
$1.9M
Development of therapeutic fusion inhibitor peptides for Measles encephalitisR01NS105699 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI POROTTO, MATTEO · 2018 to 2022
$1.8M
Self-assembling nanoparticles for intranasal delivery of influenza fusion inhibitorsR56AI119762 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI POROTTO, MATTEO · 2015 to 2015
$342k
NIAID NIH HHS R01 AI119762NIAID NIH HHS R01 AI121349NIAID NIH HHS R56 AI119762NINDS NIH HHS R01 NS091263NINDS NIH HHS R01 NS105699
6 · The paper itself

Abstract

Measles virus (MeV) infection remains a significant public health threat despite ongoing global efforts to increase vaccine coverage. As eradication of MeV stalls, and vulnerable populations expand, effective antivirals against MeV are in high demand. Here, we describe the development of an antiviral peptide that targets the MeV fusion (F) protein. This antiviral peptide construct is composed of a carbobenzoxy-d-Phe-l-Phe-Gly (fusion inhibitor peptide; FIP) conjugated to a lipidated MeV F C-terminal heptad repeat (HRC) domain derivative. Initial

Indexed as

MeaslesMeasles virusAntiviral AgentsHumansLipidsPeptidesViral Fusion ProteinsAntiviral AgentsLipidsPeptidesViral Fusion Proteinsantiviral therapyfusion inhibitorfusion proteinlipopeptidemeasles

Identifiers

PMID34291895
PMCPMC9164017
OpenAlexW3186090755

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.