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February 25, 2026Nature Ecology & Evolution2 citationsOpen Access

Comparative analysis of deep mutational scanning datasets in enteroviruses A and B identifies functional divergence and therapeutic targets

BÁBeatriz Álvarez-RodríguezWBWilliam BakhacheLMLauren McCormick

Key Result

Comparative deep mutational scanning of enteroviruses A and B identified a highly conserved, mutationally constrained druggable pocket in the 2C helicase as a pan-enterovirus therapeutic target.

Key Points

  • The study aims to identify evolutionary constraints in enteroviruses A and B using deep mutational scanning datasets.
  • Conducted comparative analyses of proteome-wide deep mutational scanning datasets from enterovirus A and B.
  • Investigated evolutionary constraints at the species and type levels across viral proteomes.
  • Examined the implications of findings for drug discovery.
  • Identified evolutionary constraints acting on core enzymatic machinery and capsid assembly interfaces.
  • Observed type-level constraints across host-interaction sites in structural and non-structural proteins.
  • Highlighted a mutationally constrained pocket in the 2C helicase as a potential therapeutic target.

Structured PICO

P
Population
Enterovirus A (EVA71) and Enterovirus B (CVB3) proteomes
I
Intervention
Comparative analysis of proteome-wide deep mutational scanning (DMS) datasets
O
Outcome
Mutational fitness effects (MFEs) and evolutionary constraints at type- and species-levels

Comparative deep mutational scanning of enteroviruses identifies conserved evolutionary constraints in core enzymatic machinery, providing a framework for designing broad-spectrum therapeutics.

Limitations

  • In vitro DMS experiments may not capture all selective pressures operating in natural infections, such as host immune responses.
  • Additional structural studies are needed to map the distinct interaction surfaces between enterovirus 3A proteins and GBF1.

Abstract

Abstract Deep mutational scanning (DMS) can define functional constraints acting on viral proteomes by quantifying the effects of mutations on viral fitness. However, DMS analyses do not discern type-specific from species-level constraints, limiting their utility in understanding how selective pressures change as viral families diversify. Here we show that comparison of DMS datasets from related viruses can overcome these limitations. By contrasting two proteome-wide DMS datasets from prototypical members of the enterovirus A and B species, we identify evolutionary constraints at the species level to occur across core enzymatic machinery and capsid assembly interfaces. In contrast, type-level constraints are observed across host-interaction sites in both structural and non-structural proteins. Furthermore, we find DMS data to reflect both type- and species-level evolutionary signatures in nature yet diverge at conserved hotspots subjected to selection pressures that are lacking in vitro. Finally, we highlight the utility of comparative DMS studies for drug discovery by identifying a mutationally constrained pocket in the 2C helicase that is conserved across all major human enterovirus species. Our findings provide a framework for dissecting evolutionary pressures acting at different evolutionary scales and for guiding the rational design of broad-spectrum therapeutics with high barriers to resistance.

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Cite This Study

Álvarez-Rodríguez et al. (2026) studied Enterovirus infection. Comparative deep mutational scanning of enteroviruses A and B identified a highly conserved, mutationally constrained druggable pocket in the 2C helicase as a pan-enterovirus therapeutic target.

synapsesocial.com/papers/699e9106f5123be5ed04e58ahttps://doi.org/10.1038/s41559-026-02993-8
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