Evidence map›Paper›PMID 32743211›Full record

ArticleACS omega2020

Prediction of Small Molecule Inhibitors Targeting the Severe Acute Respiratory Syndrome Coronavirus-2 RNA-dependent RNA Polymerase.

Mohammed Ahmad, Abhisek Dwivedy, Richard Mariadasse, Satish Tiwari, Deepsikha Kar, Jeyaraman Jeyakanthan, Bichitra K Biswal

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  11. Repurposing of gastric cancer drugs against COVID-19.Computers in biology and medicine · 2021
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  14. Bioinformatics and biology insights · 2021
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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

7 authors at 2 institutions in 1 country.

Mohammed AhmadNational Institute of Immunology, New Delhi 110067, India.
Abhisek DwivedyNational Institute of Immunology, New Delhi 110067, India.
Richard MariadasseDepartment of Bioinformatics, Alagappa University, karaikudi 630004, Tamil Nadu, India.
Satish TiwariNational Institute of Immunology, New Delhi 110067, India.
Deepsikha KarNational Institute of Immunology, New Delhi 110067, India.
Jeyaraman JeyakanthanDepartment of Bioinformatics, Alagappa University, karaikudi 630004, Tamil Nadu, India.
Bichitra K BiswalNational Institute of Immunology, New Delhi 110067, India.
National Institute of Immunology · INAlagappa University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current COVID-19 outbreak warrants the design and development of novel anti-COVID therapeutics. Using a combination of bioinformatics and computational tools, we modelled the 3D structure of the RdRp (RNA-dependent RNA polymerase) of SARS-CoV2 (severe acute respiratory syndrome coronavirus-2) and predicted its probable GTP binding pocket in the active site. GTP is crucial for the formation of the initiation complex during RNA replication. This site was computationally targeted using a number of small molecule inhibitors of the hepatitis C RNA polymerase reported previously. Further optimizations suggested a lead molecule that may prove fruitful in the development of potent inhibitors against the RdRp of SARS-CoV2.

Identifiers

PMID32743211
PMCPMC7391942
OpenAlexW3043635878

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.