Evidence map›Paper›PMID 32876433›Full record

ArticleBiochemistry2020

Identification of Zika Virus Inhibitors Using Homology Modeling and Similarity-Based Screening to Target Glycoprotein E.

Stephen M Telehany, Monica S Humby, T Dwight McGee, Sean P Riley, Amy Jacobs, Robert C Rizzo

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.Journal of computer-aided molecular design · 2026
    Article
  3. Article
  4. Review
  5. 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
  6. Envelope Protein-Targeting Zika Virus Entry Inhibitors.International journal of molecular sciences · 2024
    Review
  7. Article
  8. A molecular evolution algorithm for ligand design in DOCK.Journal of computational chemistry · 2022
    Article
  9. Review
  10. Article
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

6 authors at 2 institutions in 1 country.

Stephen M TelehanyDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Monica S HumbyDepartment of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York 14214, United States.
T Dwight McGeeDepartment of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, New York 11794, United States.
Sean P RileyDepartment of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York 14214, United States.
Amy JacobsDepartment of Microbiology and Immunology, School of Medicine and Biomedical Sciences, State University of New York (SUNY) at Buffalo, Buffalo, New York 14214, United States.
Robert C RizzoDepartment of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, New York 11794, United States.ORCID 0000-0003-0525-6147
Stony Brook University · USUniversity at Buffalo, State University of New York · US

Funding

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
Structure-based Design of Zika Virus Inhibitors Targeting Envelope Glycoprotein (E)R21AI129306 · NIAID · STATE UNIVERSITY NEW YORK STONY BROOK · PI JACOBS, AMY LYNN, RIZZO, ROBERT C. · 2016 to 2017
$452k
NIAID NIH HHS R21 AI129306NIGMS NIH HHS R35 GM126906
6 · The paper itself

Abstract

The World Health Organization has designated Zika virus (ZIKV) as a dangerous, mosquito-borne pathogen that can cause severe developmental defects. The primary goal of this work was identification of small molecules as potential ZIKV inhibitors that target the viral envelope glycoprotein (ZIKV E) involved in membrane fusion and viral entry. A homology model of ZIKV E containing the small molecule β-octyl glucoside (BOG) was constructed, on the basis of an analogous X-ray structure from dengue virus, and >4 million commercially available compounds were computationally screened using the program DOCK6. A key feature of the screen involved the use of similarity-based scoring to identify inhibitor candidates that make similar interaction energy patterns (molecular footprints) as the BOG reference. Fifty-three prioritized compounds underwent experimental testing using cytotoxicity, cell viability, and tissue culture infectious dose 50% (TCID50) assays. Encouragingly, relative to a known control (NITD008), six compounds were active in both the cell viability assay and the TCID50 infectivity assay, and they showed activity in a third caspase activity assay. In particular, compounds

Indexed as

AnimalsAntiviral AgentsChlorocebus aethiopsDrug DiscoveryHumansMolecular Docking SimulationSmall Molecule LibrariesVero CellsViral Envelope ProteinsVirus InternalizationZika VirusZika Virus InfectionAntiviral AgentsSmall Molecule LibrariesViral Envelope Proteins

Identifiers

PMID32876433
PMCPMC7598728
OpenAlexW3081733625

What OpenQuestion holds

Textmetadata
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.