ReviewNature reviews. Microbiology2026
Concepts of RNA virus evolution for the design of better antiviral countermeasures.
Review in Nature reviews. Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The APC/C subunit APC7 exerts antiviral effects by targeting the adaptor protein MAVS.Frontiers in immunology · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid evolution, host switching and immune escape. With a propensity for mutation, coupled with recombination, reassortment and extensive population interactions, RNA viruses generate remarkable genetic diversity within constrained evolutionary landscapes. Although most mutations are deleterious, a subset fuels adaptation to selective pressures and environments, potentially enabling pathogens to reach new hosts and become epidemic and pandemic threats. Recent advances in molecular virology have clarified how mutation biases, genome organization, epistasis and host factors shape viral diversity, revealing both vulnerabilities and evolutionary constraints. These mechanisms underlying viral evolution are now being leveraged to design evolution-informed countermeasures. These include live-attenuated vaccines with reduced risk of reversion, antivirals that target mutationally constrained regions or drive populations towards extinction, or universal vaccines directed against conserved regions. Looking forward, the integration of high-throughput mutational mapping, structural biology and computational modelling, including artificial intelligence-driven predictive tools, promises to transform our ability to anticipate viral evolutionary trajectories. This Review discusses how embedding evolutionary principles into translational virology may improve preparedness for future outbreaks by shifting the field from reactive to predictive strategies.
Indexed as
Identifiers
42135467What 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.