Evidence map›Paper›PMID 35128036›Full record

ArticleInformatics in medicine unlocked2022

Discovery of novel TMPRSS2 inhibitors for COVID-19 using

Abdulrahim A Alzain, Fatima A Elbadwi, Fatima O Alsamani

Open access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
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  8. Article
  9. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Article
  11. Article
  12. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  13. Article
  14. Review
  15. 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

3 authors at 1 institution in 1 country.

Abdulrahim A AlzainDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan.
Fatima A ElbadwiDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan.
Fatima O AlsamaniDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan.
University of Gezira · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global expansion of COVID-19 and the mutations of severe acute respiratory syndrome coronavirus necessitate quick development of treatment and vaccination. Because the androgen-responsive serine protease TMPRSS2 is involved in cleaving the SARS-CoV-2 spike protein allowing the virus to enter the cell, therefore, direct TMPRSS2 inhibition will inhibit virus activation and disease progression which make it an important target for drug discovery. In this study, a homology model of TMPRSS2 protein was initially developed. Then, we used the fragment-based drug design (FBDD) technique to develop effective TMPRSS2 inhibitors. Over a half-million fragments from the enamine database were screened for their binding ability to target protein, and then best-scoring fragments were linked to building new molecules with a good binding affinity. XP docking and MM-GBSA studies revealed 10 new formed molecules with docking score ≤ -14.982 kcal/mol compared to ambroxol (control) with a docking score of -6.464 kcal/mol. Finally, molecular dynamics (MD) and density functional theory (DFT) were calculated for the top 3 molecules.

Indexed as

DockingFragment-based drug designHomology modelingMolecular dynamicsQuantum mechanicsSARS-CoV-2TMPRSS2

Identifiers

PMID35128036
PMCPMC8806845
OpenAlexW4210249309

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.