Evidence map›Paper›PMID 36446201›Full record

ArticleBioorganic chemistry2023

Allosteric quinoxaline-based inhibitors of the flavivirus NS2B/NS3 protease.

Jacqueto Zephyr, Desaboini Nageswara Rao, Colby Johnson, Ala M Shaqra, Ellen A Nalivaika, Aria Jordan, Nese Kurt Yilmaz, Akbar Ali, Celia A Schiffer

Open access · greenAbstract read
In one paragraph

Article in Bioorganic chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 14 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

9 authors at 1 institution in 1 country.

Jacqueto ZephyrDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Desaboini Nageswara RaoDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Colby JohnsonDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Ala M ShaqraDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Ellen A NalivaikaDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Aria JordanDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Nese Kurt YilmazDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States. Electronic address: Nese.KurtYilmaz@umassmed.edu.
Akbar AliDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States. Electronic address: Akbar.Ali@umassmed.edu.
Celia A SchifferDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States. Electronic address: Celia.Schiffer@umassmed.edu.
University of Massachusetts Chan Medical School · US

Funding

Drug Resistance in HCV NS3/4A - Inhibitor binding versus substrate recognitionR01AI085051 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2010 to 2019
$4.6M
Integration of Evolution to Avoid Resistance in Structure Based Drug DesignR01GM135919 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2020 to 2023
$2.5M
Fragment-based drug design and substrate envelope model of the Zika virus proteaseF31GM131635 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ZEPHYR, JACQUETO · 2019 to 2021
$80k
Structure-based design of robust cross-genotypic NS3/4A protease inhibitors that avoid resistanceF31GM119345 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MATTHEW, ASHLEY NICOLE · 2016 to 2017
$64k
NIAID NIH HHS R01 AI085051NIGMS NIH HHS F31 GM119345NIGMS NIH HHS F31 GM131635NIGMS NIH HHS R01 GM135919
6 · The paper itself

Abstract

Viruses from the Flavivirus genus infect millions of people worldwide and cause severe diseases, including recent epidemics of dengue virus (DENV), and Zika virus (ZIKV). There is currently no antiviral treatment against flavivirus infections, despite considerable efforts to develop inhibitors against essential viral enzymes including NS2B/NS3 protease. Targeting the flavivirus NS2B/NS3 protease proved to be challenging because of the conformational dynamics, topology, and electrostatic properties of the active site. Here, we report the identification of quinoxaline-based allosteric inhibitors by fragment-based drug discovery approach as a promising new drug-like scaffold to target the NS2B/NS3 protease. Enzymatic assays and mutational analysis of the allosteric site in ZIKV NS2B/NS3 protease support noncompetitive inhibition mechanism as well as engineered DENV protease construct indicating the compounds likely compete with the NS2B cofactor for binding to the protease domain. Furthermore, antiviral activity confirmed the therapeutic potential of this new inhibitor scaffold.

Indexed as

FlavivirusZika VirusZika Virus InfectionAntiviral AgentsHumansPeptide HydrolasesProtease InhibitorsQuinoxalinesSerine EndopeptidasesViral Nonstructural ProteinsAntiviral AgentsPeptide HydrolasesProtease InhibitorsQuinoxalinesSerine EndopeptidasesViral Nonstructural ProteinsAntiviralsDrug discoveryFlavivirusInhibitionNS2B/NS3Protease

Identifiers

PMID36446201
PMCPMC10155214
OpenAlexW4309370615

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.