Evidence map›Paper›PMID 32963099›Full record

ArticlemSystems2020

Nishant Shekhar, Phulen Sarma, Manisha Prajapat, Pramod Avti, Hardeep Kaur, Anupam Raja, Harvinder Singh, Anusuya Bhattacharya, Saurabh Sharma, Subodh Kumar and 2 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Overview of SARS-CoV-2 genome-encoded proteins.Science China. Life sciences · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  14. Review
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  17. 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

12 authors at 2 institutions in 1 country.

Nishant ShekharDepartment of Pharmacology, PGIMER, Chandigarh, India.
Phulen SarmaDepartment of Pharmacology, PGIMER, Chandigarh, India.
Manisha PrajapatDepartment of Pharmacology, PGIMER, Chandigarh, India.
Pramod AvtiDepartment of Biophysics, PGIMER, Chandigarh, India.
Hardeep KaurDepartment of Pharmacology, PGIMER, Chandigarh, India.
Anupam RajaDepartment of Pharmacology, PGIMER, Chandigarh, India.
Harvinder SinghDepartment of Pharmacology, PGIMER, Chandigarh, India.
Anusuya BhattacharyaDepartment of Ophthalmology, Government Medical College & Hospital, Chandigarh, India.
Saurabh SharmaDepartment of Pharmacology, PGIMER, Chandigarh, India.
Subodh KumarDepartment of Pharmacology, PGIMER, Chandigarh, India.
Ajay PrakashDepartment of Pharmacology, PGIMER, Chandigarh, India.
Bikash MedhiDepartment of Pharmacology, PGIMER, Chandigarh, India drbikashus@yahoo.com.ORCID https://orcid.org/0000-0002-4017-641X
Post Graduate Institute of Medical Education and Research · INGovernment Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The membrane-anchored spike (S) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a pivotal role in directing the fusion of the virus particle mediated by the host cell receptor angiotensin-converting enzyme 2 (ACE-2). The fusion peptide region of the S protein S2 domain provides SARS-CoV-2 with the biological machinery needed for direct fusion to the host lipid membrane. In our present study, computer-aided drug design strategies were used for the identification of FDA-approved small molecules using the optimal structure of the S2 domain, which exhibits optimal interaction ratios, structural features, and energy variables, which were evaluated based on their performances in molecular docking, molecular dynamics simulations, molecular mechanics/generalized Born model and solvent accessibility binding free energy calculations of molecular dynamics trajectories, and statistical inferences. Among the 2,625 FDA-approved small molecules, chloramphenicol succinate, imipenem, and imidurea turned out to be the molecules that bound the best at the fusion peptide hydrophobic pocket. The principal interactions of the selected molecules suggest that the potential binding site at the fusion peptide region is centralized amid the Lys790, Thr791, Lys795, Asp808, and Gln872 residues.

Indexed as

coronavirusdockingdrug discoveryfree energyfusion peptidemolecular dynamicsmolecular dynamics simulationmolecular mechanics/generalized Born model and solvent accessibilityrepositioningrepurposingS2 fusion peptide-containing domainsevere acute respiratory syndrome coronavirus 2spike protein

Identifiers

PMID32963099
PMCPMC7511214
OpenAlexW3087234540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.