ArticleStructure (London, England : 1993)2022
Hold your horses: The receptor-binding domains of SARS-CoV-2, SARS-CoV, and hCoV-NL63 bind equine ACE2.
Article in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- ACE2-Decoy-Conjugated PLGA-PEG Nanoparticles Loaded with Nafamostat for Potent Antiviral Activity.Viruses · 2025Article
- Extracellular Vesicle-Based SARS-CoV-2 Vaccine.Vaccines · 2023Review
Corrections and comments
- Comment on
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In this issue of Structure, Lan and colleagues seek to identify regions on the ACE2 receptor and coronavirus spikes that are essential for the viral attachment. They achieve it through a detailed comparative analysis of the binding of coronaviruses NL63, SARS-CoV, and several SARS-CoV-2 variants with human and horse ACE2.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.