Evidence map›Paper›PMID 31092576›Full record

ArticleJournal of virology2019

Identification of Ebola Virus Inhibitors Targeting GP2 Using Principles of Molecular Mimicry.

Courtney D Singleton, Monica S Humby, Hyun Ah Yi, Robert C Rizzo, Amy Jacobs

Open access · hybridAbstract read
In one paragraph

Article in Journal of virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.Journal of computer-aided molecular design · 2026
    Article
  2. Mutations in Mig6 reduce inhibition of the epidermal growth factor receptor.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  3. Article
  4. A molecular evolution algorithm for ligand design in DOCK.Journal of computational chemistry · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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 2 institutions in 1 country.

Courtney D Singleton *Department of Molecular & Cellular Pharmacology, Stony Brook University, Stony Brook, New York, USA.
Monica S Humby *Department of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York, USA.
Hyun Ah YiDepartment of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York, USA.
Robert C RizzoDepartment of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, New York, USA rizzorc@gmail.com ajacobs2@buffalo.edu.
Amy JacobsDepartment of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York, USA rizzorc@gmail.com ajacobs2@buffalo.edu.
University at Buffalo, State University of New York · USStony Brook University · US

Funding

Virology/Immunology CoreP30AI078498 · NIAID · UNIVERSITY OF ROCHESTER · PI DEWHURST, STEPHEN · 2008 to 2018
$14.6M
Development, Validation, and Application of Structure-based Tools for Computational Molecular DesignR35GM126906 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI ROBERT C. RIZZO · 2018 to 2026
$3.2M
Computational Design of Fusion Inhibitors Targeting Drug-resistant HIVgp41R01GM083669 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI RIZZO, ROBERT C. · 2008 to 2016
$2.6M
Molecular details of HIV fusion revealed using novel gp41 labelingR21AI102796 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JACOBS, AMY LYNN · 2013 to 2014
$379k
NIAID NIH HHS P30 AI078498NIAID NIH HHS R21 AI102796NIGMS NIH HHS R01 GM083669NIGMS NIH HHS R35 GM126906
6 · The paper itself

Abstract

A key step in the Ebola virus (EBOV) replication cycle involves conformational changes in viral glycoprotein 2 (GP2) which facilitate host-viral membrane fusion and subsequent release of the viral genome. Ebola GP2 plays a critical role in virus entry and has similarities in mechanism and structure to the HIV gp41 protein for which inhibitors have been successfully developed. In this work, a putative binding pocket for the C-terminal heptad repeat in the N-terminal heptad repeat trimer was targeted for identification of small molecules that arrest EBOV-host membrane fusion. Two computational structure-based virtual screens of ∼1.7 M compounds were performed (DOCK program) against a GP2 five-helix bundle, resulting in 165 commercially available compounds purchased for experimental testing. Based on assessment of inhibitory activity, cytotoxicity, and target specificity, four promising candidates emerged with 50% inhibitory concentration values in the 3 to 26 μM range. Molecular dynamics simulations of the two most potent candidates in their DOCK-predicted binding poses indicate that the majority of favorable interactions involve seven highly conserved residues that can be used to guide further inhibitor development and refinement targeting EBOV.

Indexed as

Molecular MimicryAntiviral AgentsCell LineDrug Evaluation, PreclinicalEbolavirusHumansInhibitory Concentration 50Microbial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingViral Envelope ProteinsVirus InternalizationAntiviral Agentsenvelope glycoprotein, Ebola virusViral Envelope Proteinscomputer-aided drug designDOCKdockingEBOVfootprint similaritymembrane fusionmolecular dynamicsviral entryvirtual screening

Identifiers

PMID31092576
PMCPMC6639268
OpenAlexW2944869471

What OpenQuestion holds

Textmetadata
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.