Evidence map›Paper›PMID 32965508›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2020

Insights into the biased activity of dextromethorphan and haloperidol towards SARS-CoV-2 NSP6: in silico binding mechanistic analysis.

Preeti Pandey, Kartikay Prasad, Amresh Prakash, Vijay Kumar

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Psychotropic drug repurposing for COVID-19: A Systematic Review and Meta-Analysis.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2023
    Pooled it
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  10. Molecules (Basel, Switzerland) · 2023
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  16. SARS-CoV-2-Specific Immune Response and the Pathogenesis of COVID-19.International journal of molecular sciences · 2022
    Review
  17. Structural biology of SARS-CoV-2: open the door for novel therapies.Signal transduction and targeted therapy · 2022
    Review
  18. Article
  19. Article
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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

4 authors at 2 institutions in 3 countries.

Preeti PandeyDepartment of Chemistry & Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019-5251, USA.
Kartikay PrasadAmity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, UP, 201303, India.
Amresh PrakashAmity Institute of Integrative Sciences and Health (AIISH), Amity University Haryana, Gurgaon, 122413, India. aprakash@ggn.amity.edu.
Vijay KumarAmity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, UP, 201303, India. vkumar33@amity.edu.ORCID 0000-0002-3621-5025
Amity University · INUniversity of Oklahoma · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus continually led to infect a large population worldwide. SARS-CoV-2 utilizes its NSP6 and Orf9c proteins to interact with sigma receptors that are implicated in lipid remodeling and ER stress response, to infect cells. The drugs targeting the sigma receptors, sigma-1 and sigma-2, have emerged as effective candidates to reduce viral infectivity, and some of them are in clinical trials against COVID-19. The antipsychotic drug, haloperidol, exerts remarkable antiviral activity, but, at the same time, the sigma-1 benzomorphan agonist, dextromethorphan, showed pro-viral activity. To explore the potential mechanisms of biased binding and activity of the two drugs, haloperidol and dextromethorphan towards NSP6, we herein utilized molecular docking-based molecular dynamics simulation studies. Our extensive analysis of the protein-drug interactions, structural and conformational dynamics, residual frustrations, and molecular switches of NSP6-drug complexes indicates that dextromethorphan binding leads to structural destabilization and increase in conformational dynamics and energetic frustrations. On the other hand, the strong binding of haloperidol leads to minimal structural and dynamical perturbations to NSP6. Thus, the structural insights of stronger binding affinity and favorable molecular interactions of haloperidol towards viral NSP6 suggests that haloperidol can be potentially explored as a candidate drug against COVID-19. KEY MESSAGES: •Inhibitors of sigma receptors are considered as potent drugs against COVID-19. •Antipsychotic drug, haloperidol, binds strongly to NSP6 and induces the minimal changes in structure and dynamics of NSP6. •Dextromethorphan, agonist of sigma receptors, binding leads to overall destabilization of NSP6. •These two drugs bind with NSP6 differently and also induce differences in the structural and conformational changes that explain their different mechanisms of action. •Haloperidol can be explored as a candidate drug against COVID-19.

Indexed as

COVID-19 Drug TreatmentBinding SitesComputer SimulationCoronavirus Nucleocapsid ProteinsCOVID-19DextromethorphanHaloperidolHumansMolecular Docking SimulationMolecular Dynamics SimulationPandemicsProtein BindingProtein Interaction Domains and MotifsSARS-CoV-2Viral Nonstructural ProteinsCoronavirus Nucleocapsid ProteinsDextromethorphanHaloperidolORF1ab polyprotein, SARS-CoV-2Viral Nonstructural ProteinsCOVID-19DextromethorphanHaloperidolMolecular dockingMolecular dynamicsNSP6

Identifiers

PMID32965508
PMCPMC7509052
OpenAlexW3087127729

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.