Evidence map›Paper›PMID 33490902›Full record

ArticleiScience2021

High-throughput rational design of the remdesivir binding site in the RdRp of SARS-CoV-2: implications for potential resistance.

Aditya K Padhi, Rohit Shukla, Prakash Saudagar, Timir Tripathi

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
1.8field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 81 citations in OpenAlex.

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  5. Plausible mechanism of drug resistance and side-effects of COVID-19 therapeutics: a bottleneck for its eradication.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
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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

4 authors at 4 institutions in 2 countries.

Aditya K PadhiLaboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, Yokohama, Kanagawa 230-0045, Japan.
Rohit ShuklaDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan 173234, India.
Prakash SaudagarDepartment of Biotechnology, National Institute of Technology, Warangal 506004, India.
Timir TripathiMolecular and Structural Biophysics Laboratory, Department of Biochemistry, North-Eastern Hill University, Shillong 793022, India.
Jaypee University of Information Technology · INNational Institute of Technology Warangal · INNorth Eastern Hill University · INRIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of remdesivir to treat COVID-19 will likely continue before clinical trials are completed. Due to the lengthening pandemic and evolving nature of the virus, predicting potential residues prone to mutation is crucial for the management of remdesivir resistance. Using a rational ligand-based interface design complemented with mutational mapping, we generated a total of 100,000 mutations and provided insight into the functional outcomes of mutations in the remdesivir-binding site in nsp12 subunit of RdRp. After designing 46 residues in the remdesivir-binding site of nsp12, the designs retained 97%-98% sequence identity, suggesting that very few mutations in nsp12 are required for SARS-CoV-2 to attain remdesivir resistance. Several mutants displayed decreased binding affinity to remdesivir, suggesting drug resistance. These hotspot residues had a higher probability of undergoing selective mutation and thus conferring remdesivir resistance. Identifying the potential residues prone to mutation improves our understanding of SARS-CoV-2 drug resistance and COVID-19 pathogenesis.

Indexed as

Biological SciencesMicrobiologyVirology

Identifiers

PMID33490902
PMCPMC7807151
OpenAlexW3117386561

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.