Evidence map›Paper›PMID 34485378›Full record

ArticleFrontiers in molecular biosciences2021

Computational Studies on T2Rs Agonist-Based Anti-COVID-19 Drug Design.

Premnath Dhanaraj, Indiraleka Muthiah, Mahtabin Rodela Rozbu, Samiha Nuzhat, Mosae Selvakumar Paulraj

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Premnath DhanarajDepartment of Biotechnology, School of Agriculture and Biosciences, Karunya Institute of Technology and Science (Deemed to be University), Coimbatore, India.
Indiraleka MuthiahDepartment of Biotechnology, Mepco Schlenk Engineering College, Sivakasi, India.
Mahtabin Rodela RozbuDepartment of Science and Math Program, Asian University for Women, Chittagong, Bangladesh.
Samiha NuzhatDepartment of Science and Math Program, Asian University for Women, Chittagong, Bangladesh.
Mosae Selvakumar PaulrajDepartment of Science and Math Program, Asian University for Women, Chittagong, Bangladesh.
Asian University for Women · BDKarunya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expeditious and world pandemic viral disease of new coronavirus (SARS-CoV-2) has formed a prompt urgency to discover auspicious target-based ligand for the treatment of COVID-19. Symptoms of novel coronavirus disease (COVID-19) typically include dry cough, fever, and shortness of breath. Recent studies on many COVID-19 patients in Italy and the United Kingdom found increasing anosmia and ageusia among the COVID-19-infected patients. SARS-CoV-2 possibly infects neurons in the nasal passage and disrupts the senses of smell and taste, like other coronaviruses, such as SARS-CoV and MERS-CoV that could target the central nervous system. Developing a drug based on the T2Rs might be of better understanding and worth finding better molecules to act against COVID-19. In this research, we have taken a taste receptor agonist molecule to find a better core molecule that may act as the best resource to design a drug or corresponding derivatives. Based on the computational docking studies, the antibiotic tobramycin showed the best interaction against 6LU7 COVID-19 main protease. Aromatic carbonyl functional groups of the molecule established intermolecular hydrogen bonding interaction with GLN189 amino acid and it showed the two strongest carbonyl interactions with receptor protein resulting in a glide score of -11.159. To conclude, depending on the molecular recognition of the GPCR proteins, the agonist molecule can be recognized to represent the cell secondary mechanism; thus, it provides enough confidence to design a suitable molecule based on the tobramycin drug.

Indexed as

coronavirus (COVID−19)drug designmolecular dockingspike (S) glycoproteinT2Rs agonist

Identifiers

PMID34485378
PMCPMC8416165
OpenAlexW3195939200

What OpenQuestion holds

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LicenceCC BY
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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.