Evidence map›Paper›PMID 38127066›Full record

ArticleeLife2023

Emerging variants of SARS-CoV-2 NSP10 highlight strong functional conservation of its binding to two non-structural proteins, NSP14 and NSP16.

Huan Wang, Syed R A Rizvi, Danni Dong, Jiaqi Lou, Qian Wang, Watanyoo Sopipong, Yufeng Su, Fares Najar, Pratul K Agarwal, Frank Kozielski and 1 more

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

11 authors.

Huan WangDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Syed R A RizviDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Danni DongDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Jiaqi LouDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Qian WangDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Watanyoo SopipongDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Yufeng SuCollege of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, United Kingdom.
Fares NajarHigh-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Pratul K AgarwalHigh-Performance Computing Center, Oklahoma State University, Stillwater, United States.ORCID 0000-0002-3848-9492
Frank KozielskiDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.
Shozeb HaiderDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London, United Kingdom.ORCID 0000-0003-2650-2925

Funding

Medical Research Council MR/X013995/1
6 · The paper itself

Abstract

The coronavirus SARS-CoV-2 protects its RNA from being recognized by host immune responses by methylation of its 5' end, also known as capping. This process is carried out by two enzymes, non-structural protein 16 (NSP16) containing 2'-O-methyltransferase and NSP14 through its N7 methyltransferase activity, which are essential for the replication of the viral genome as well as evading the host's innate immunity. NSP10 acts as a crucial cofactor and stimulator of NSP14 and NSP16. To further understand the role of NSP10, we carried out a comprehensive analysis of >13 million globally collected whole-genome sequences (WGS) of SARS-CoV-2 obtained from the Global Initiative Sharing All Influenza Data (GISAID) and compared it with the reference genome Wuhan/WIV04/2019 to identify all currently known variants in NSP10. T12I, T102I, and A104V in NSP10 have been identified as the three most frequent variants and characterized using X-ray crystallography, biophysical assays, and enhanced sampling simulations. In contrast to other proteins such as spike and NSP6, NSP10 is significantly less prone to mutation due to its crucial role in replication. The functional effects of the variants were examined for their impact on the binding affinity and stability of both NSP14-NSP10 and NSP16-NSP10 complexes. These results highlight the limited changes induced by variant evolution in NSP10 and reflect on the critical roles NSP10 plays during the SARS-CoV-2 life cycle. These results also indicate that there is limited capacity for the virus to overcome inhibitors targeting NSP10 via the generation of variants in inhibitor binding pockets.

Indexed as

COVID-19Viral Regulatory and Accessory ProteinsExoribonucleasesHumansMethyltransferasesSARS-CoV-2Viral Nonstructural ProteinsExoribonucleasesMethyltransferasesNSP14 protein, SARS-CoV-2ORF1ab polyprotein, SARS-CoV-2Viral Nonstructural ProteinsViral Regulatory and Accessory ProteinsCOVID19infectious diseaseMetadynamicsmicrobiologymolecular biophysicsNSP10SARS-CoV-2structural biologyviruses

Identifiers

PMID38127066
PMCPMC10735223

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Registered trials

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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.