Evidence map›Paper›PMID 34686999›Full record

ArticleBiomolecular NMR assignments2022

NMR study of macro domains (MDs) from betacoronavirus: backbone resonance assignments of SARS-CoV and MERS-CoV MDs in the free and the ADPr-bound state.

Aikaterini C Tsika, Nikolaos K Fourkiotis, Periklis Charalampous, Angelo Gallo, Georgios A Spyroulias

Open access · bronzeAbstract read
In one paragraph

Article in Biomolecular NMR assignments, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. NMR study of human macroPARPs domains:Biomolecular NMR assignments · 2026
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  2. Article
  3. Biomolecular NMR assignments · 2025
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  4. Article
  5. 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 1 institution in 1 country.

Aikaterini C Tsika *Department of Pharmacy, University of Patras, 26504, Patras, Greece.
Nikolaos K Fourkiotis *Department of Pharmacy, University of Patras, 26504, Patras, Greece.
Periklis Charalampous *Department of Pharmacy, University of Patras, 26504, Patras, Greece.
Angelo Gallo *Department of Pharmacy, University of Patras, 26504, Patras, Greece. agallo@upatras.gr.
Georgios A SpyrouliasDepartment of Pharmacy, University of Patras, 26504, Patras, Greece. G.A.Spyroulias@upatras.gr.ORCID 0000-0003-1799-3312
University of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV and MERS-CoV Macro Domains (MDs) exhibit topological and conformational features that resemble the nsP3b macro (or "X") domain of SARS-CoV-2. Indeed, all the three domains (SARS-CoV-2, SARS-CoV and MERS-CoV MDs) fold in a three-layer α/β/α sandwich structure, as reported by crystallographic structural investigation of SARS-CoV MD and MERS-CoV MD. These viral MDs are able to bind ADP-ribose as many other MDs from different kingdoms. They have been characterized also as de-ADP-ribosylating enzymes. For this reason, these viral macrodomains recently emerged as important drug targets since they can counteract antiviral ADP-ribosylation mediated by poly-ADP-ribose polymerase (PARPs). Even in presence of the 3D structures of SARS-CoV MD and of MERS-CoV MD, we report herein the almost complete NMR backbone (

Indexed as

COVID-19Middle East Respiratory Syndrome CoronavirusAdenosine Diphosphate RiboseHumansNuclear Magnetic Resonance, BiomolecularProtein DomainsSARS-CoV-2Adenosine Diphosphate RiboseMacro domainsMERS–CoVNMR backbone assignmentNon-structural proteinSARS–CoVSolution NMR-spectroscopy

Identifiers

PMID34686999
PMCPMC8533669
OpenAlexW3206180398

What OpenQuestion holds

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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.