Evidence map›Paper›PMID 35738174›Full record

ArticleVirology2022

In-Silico targeting of SARS-CoV-2 NSP6 for drug and natural products repurposing.

Ahmed Abdelkader, Amal A Elzemrany, Mennatullah El-Nadi, Sherif A Elsabbagh, Moustafa A Shehata, Wagdy M Eldehna, Mohamed El-Hadidi, Tamer M Ibrahim

Open access · greenAbstract read
In one paragraph

Article in Virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using AlphaFold Predictions in Viral Research.Current issues in molecular biology · 2023
    Review
  7. Molecules (Basel, Switzerland) · 2023
    Article
  8. 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

8 authors at 5 institutions in 2 countries.

Ahmed AbdelkaderBioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt; Department of Pharmacognosy, Faculty of Pharmacy, Misr University for Science and Technology, Giza, Egypt.
Amal A ElzemranyBioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt.
Mennatullah El-NadiBioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt; Department of Chemistry, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Sherif A ElsabbaghBiochemistry Department, Institute of Pharmacy, Eberhard-Karls University, Auf der Morgenstelle 8, 72076, Tuebingen, Germany.
Moustafa A ShehataDepartment of Chemistry, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Wagdy M EldehnaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt.
Mohamed El-HadidiBioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt.
Tamer M IbrahimBioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt. Electronic address: Tamer_Mohamad@pharm.kfs.edu.eg.
Nile University · EGKafrelsheikh University · EGCairo University · EGMisr University for Science and Technology · EGUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Structural Protein 6 (NSP6) has a protecting role for SARS-CoV-2 replication by inhibiting the expansion of autophagosomes inside the cell. NSP6 is involved in the endoplasmic reticulum stress response by binding to Sigma receptor 1 (SR1). Nevertheless, NSP6 crystal structure is not solved yet. Therefore, NSP6 is considered a challenging target in Structure-Based Drug Discovery. Herein, we utilized the high quality NSP6 model built by AlphaFold in our study. Targeting a putative NSP6 binding site is believed to inhibit the SR1-NSP6 protein-protein interactions. Three databases were virtually screened, namely FDA-approved drugs (DrugBank), Northern African Natural Products Database (NANPDB) and South African Natural Compounds Database (SANCDB) with a total of 8158 compounds. Further validation for 9 candidates via molecular dynamics simulations for 100 ns recommended potential binders to the NSP6 binding site. The proposed candidates are recommended for biological testing to cease the rapidly growing pandemic.

Indexed as

Biological ProductsCOVID-19 Drug TreatmentAntiviral AgentsDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Antiviral AgentsBiological ProductsCOVID-19DockingDrugBankMolecular dynamicsNatural productsNSP6

Identifiers

PMID35738174
PMCPMC9212324
OpenAlexW4282947325

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.