Evidence map›Paper›PMID 34370633›Full record

ReviewCurrent drug targets2022

Molecular Modeling Targeting Transmembrane Serine Protease 2 (TMPRSS2) as an Alternative Drug Target Against Coronaviruses.

Igor José Dos Santos Nascimento, Edeildo Ferreira da Silva-Júnior, Thiago Mendonça de Aquino

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug targets, 2022. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Allelic Variations in the Human GenesInternational journal of molecular sciences · 2022
    Article
  9. 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.

Igor José Dos Santos NascimentoLaboratory of Synthesis and Research in Medicinal Chemistry (LSRMEC), Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceió, Brazil.
Edeildo Ferreira da Silva-JúniorLaboratory of Synthesis and Research in Medicinal Chemistry (LSRMEC), Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceió, Brazil.
Thiago Mendonça de AquinoLaboratory of Synthesis and Research in Medicinal Chemistry (LSRMEC), Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceió, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since December 2019, the new Coronavirus disease (COVID-19) caused by the etiological agent SARS-CoV-2 has been responsible for several cases worldwide, becoming pandemic in March 2020. Pharmaceutical companies and academics have joined their efforts to discover new therapies to control the disease since there are no specific drugs to combat this emerging virus. Thus, several tar-gets have been explored; among them, the transmembrane protease serine 2 (TMPRSS2) has gained greater interest in the scientific community. In this context, this review will describe the importance of TMPRSS2 protease and the significant advances in virtual screening focused on discovering new inhibitors. In this review, it was observed that molecular modeling methods could be powerful tools in identifying new molecules against SARS-CoV-2. Thus, this review could be used to guide re-searchers worldwide to explore the biological and clinical potential of compounds that could be promising drug candidates against SARS-CoV-2, acting by inhibition of TMPRSS2 protein.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Drug Delivery SystemsHumansModels, MolecularPandemicsSerine EndopeptidasesSerine EndopeptidasesTMPRSS2 protein, humancoronavirusesdrug repurposingSARS-CoV-2structure-based drug discoveryTMPRSS2virtual screening

Identifiers

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.