ArticleCommunications biology2021
Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.Bioinformatics advances · 2026Article
- Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability.eLife · 2025Article
- Future trajectory of SARS-CoV-2: Constant spillover back and forth between humans and animals.Virus research · 2023Review
- [The different phases of molecular and antigenic evolution of SARS-CoV-2 viruses during the 20 months following its emergence].Bulletin de l'Academie nationale de medecine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. We estimated diversity of each site on a multiple sequence alignment (MSA) of the Spike (S) proteins from close relatives of SARS-CoV-2 that infected bat and pangolin before the pandemic. Then we compared the locations of high diversity sites in this MSA and those of mutations found in multiple emerging lineages of human-infecting SARS-CoV-2. This comparison revealed a significant correspondence, which suggests that a limited number of sites in this protein are repeatedly substituted in different lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary basis for these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2.
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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.